Top Data Analyst Jobs Openings in 2025

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The AI orchestration of your wildest imagination.n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.🎯 Your main goal will be to bring rigor, insight, and actionability to n8n’s marketing data, helping us understand what works, identify funnel gaps, and guide data-driven decisions that scale our growth.To do so, you’ll take ownership of building trusted analytics foundations, actionable insights, and clear reporting that empower our marketing leaders to make smarter investment decisions. BUILD ROBUST MARKETING ANALYTICS FOUNDATIONSDesign, implement, and maintain end-to-end tracking and measurement for paid and organic campaigns.Ensure accurate tagging, integrations, and data flows across platforms like YouTube, social, and website analytics.Anticipate and solve data quality and measurement challenges before they impact insights.TURN DATA INTO INSIGHTS THAT DRIVE STRATEGYAnalyze top-of-funnel performance across channels to uncover gaps and opportunities.Deliver actionable recommendations that shape budget allocation and campaign strategy.Support Monthly Business Reviews with data-backed insights that influence leadership decisions.ENABLE SCALABLE REPORTING AND DASHBOARDSBuild and maintain dashboards that make marketing performance easy to track and understand.Partner with the Data and Website teams to ensure clean, consistent data pipelines.Standardize metrics definitions and measurement frameworks across marketing functions. REQUIREMENTSMust-haves📊 Marketing analytics expertise: You have 5+ years of experience in marketing analytics or campaign measurement in a B2B SaaS context, ideally PLG or developer-focused.🧠 Technical skills: You’re fluent in SQL and comfortable working with tools like dbt and BigQuery to build scalable data models.⚙️ Tracking and automation: You know your way around marketing automation, tag management, and reporting tools, and can set up accurate, GDPR-compliant tracking.🔍 Analytical mindset: You’re proactive in identifying data issues, solving measurement challenges, and translating data into actionable insights.Nice-to-haves📺 YouTube and brand campaign analytics: You have experience measuring the impact of YouTube ads and social or brand initiatives.🧩 Data privacy experience: You’re familiar with GDPR-compliant measurement setups and privacy-first tracking practices.Why join us?At n8n, your insights won’t just live in dashboards; they’ll directly shape how we grow. You’ll build the marketing analytics foundation from the ground up, partner closely with marketing leadership, and influence how we invest across channels. You’ll join a fast-growing, remote-first B2B SaaS company with a collaborative culture and a 94 eNPS score, working alongside teams who value autonomy, experimentation, and continuous learning.Sound like a challenge you’re excited to take on?Apply now and help us scale the future of automation, powered by data.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.Senior LLM Quality AnalystRole DescriptionAs a Senior LLM Quality Analyst, you'll work with the Trust, Safety and Quality team to ensure MagicSchool's AI outputs meet the highest standards for educators and students. This role combines data analysis, prompt engineering, and educational experience. You will design and execute experiments to test prompt strategies, evaluate model performance, and maintain dashboards. You will bring a critical eye to AI quality, strong analytical skills, and a deep understanding of educational needs.What You'll DoDesign and Execute Prompt Engineering ExperimentsWork with the product manager, data scientist and team lead to design prompt strategies and experiments to test themUse our Evaluation Platform to improve and iterate on MagicSchool prompts from an educators perspectiveDesign experiments using our Evaluation Platform to compare models for different use casesAnalyze results and make data-driven recommendations for prompt improvementsMaintain Response Quality Reporting and DashboardsWork with the team lead to design reports and dashboards for performance-over-time reportingMaintain evaluation dashboards and reporting output using MetabaseEnsure stakeholders have visibility into response quality metricsEvaluate and Improve AI OutputsWork with the product manager and data scientist to design evaluators and test casesAssess AI outputs from an educator's perspective to ensure they meet classroom needsIdentify quality issues and work cross-functionally with product managers, engineers, and the data scientist to address themStay Current on LLM Best PracticesKeep up with the latest research and techniques in prompt engineering and LLM evaluationBring passion for solving education problems with technologyQualifications, Competencies & SkillsStrong analytical skills and comfort working in spreadsheetsExperience with BI tools (we use Metabase, but experience with any similar tool is valuable)Basic statistics knowledgeSQLOrganized and detail-oriented: Maintains clear documentation and systematic approaches to testingCritical thinker: Can design meaningful experiments and draw insights from dataGets a lot done: Works hard, resourceful, does what it takesAdaptable: Smart, learns quickly, curiousBuilds relationships easily: Emotionally intelligent, warm communicatorStrong communication skills: Team-first mindset, highly collaborative, can articulate decisions within team's contextNice to have: Analytical Python experience (huge plus - pandas, jupyter notebooks, data visualization)Experience5+ years of professional experience in data analysisTeam Lead ExperienceExperience working with LLMs or AI products (prompt engineering, evaluation, quality analysis, or AI product work)Strongly preferred: K-12 teaching experience or EdTech industry experiencePreferred: Startup experiencePassionate about solving education problems with technologyApplication Notice: Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 11/16/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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About the RoleWe’re looking for a sharp, experienced Lead Spreadsheet Quality Analyst to oversee the accuracy and consistency of our spreadsheet evaluation data for AI training.You’ll act as the quality gatekeeper for Excel-based annotation tasks, reviewing the work of Level 1 annotators, providing feedback, and maintaining strict programmatic verification (PV) standards that ensure our models learn from clean, unambiguous data.This role blends technical precision with people leadership. You’ll mentor reviewers, refine QC processes, and audit datasets that shape how AI agents reason through complex spreadsheet tasks.Note: This is a contract role with hours aligning to 10am-5pm PST.ResponsibilitiesReview, approve, or reject annotated spreadsheet tasks for programmatic verification (PV) complianceProvide detailed, actionable feedback to Level 1 annotators and help them improve their accuracy and speedDefine, refine, and document quality control guidelines and edge-case examplesAudit datasets for internal consistency and escalate structural or tooling issues to the product and research teamsMaintain weekly throughput and quality targets while ensuring annotation teams meet benchmark standardsQualifications3+ years in QA, data operations, analytics, or data labelingExpert Excel user with formula auditing and debugging experienceFamiliar with quality frameworks or annotation pipelinesComfortable writing clear feedback and coaching othersBonusFamiliarity with evaluation datasets or ML training dataExperience working in a startup environmentThe DetailsLocation: Remote!Compensation: $50 per hour + bonuses based on high quality task completion. Total expected compensation of $75 per hourHours: 10am-5pm PST. Additional hours may be requested if neededWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product forms

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About the RoleWe’re looking for detail-oriented Spreadsheet Quality Analysts to help build high-quality evaluation data for next-generation spreadsheet AI agents. This position is ideal for someone who has strong Excel skills, loves structured work, and takes pride in precision. You’ll be part of a small, fast-moving team helping define how AI learns to reason through real-world spreadsheet problems.Note: This is a contract role with hours aligning to 10am-5pm PST.ResponsibilitiesReview and validate spreadsheet tasks for clarity, determinism, and correctnessModify input spreadsheets and task statements to enforce consistent outcomesApply a structured 5-step validation process (clarity, function screening, answer validation, correctness, annotation)Annotate reasoning for edits and flag low-quality or ambiguous tasksMeet weekly quality benchmarks and iterate based on reviewer feedbackQualificationsStrong Excel proficiency (INDEX/MATCH, IF, SUMIF, VLOOKUP, etc)Excellent written communication and precisionExperience with structured data tasks or QA/checklist workflowsDetail-oriented, consistent output under quality guidelines BonusPrior data annotation experience (Scale AI, Surge AI, Toloka, etc.)Experience working in a startup environmentThe DetailsLocation: Remote!Compensation: $15-20 per hour + bonuses based on high quality task completion. Total expected compensation of $25-30 per hourHours: 10am-5pm PST. Additional hours may be requested if neededWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product forms

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI. What we doThe Mindrift platform, launched and powered by Toloka, connects domain experts with cutting-edge AI projects from innovative tech clients. Our mission is to unlock the potential of GenAI by tapping into real-world expertise from across the globe. Who we're looking for:We’re looking for curious and intellectually proactive contributors, the kind of person who double-checks assumptions and plays devil’s advocate. Are you comfortable with ambiguity and complexity? Does an async, remote, flexible opportunity sound exciting? Would you like to learn how modern AI systems are tested and evaluated?This is a flexible, project-based opportunity well-suited for:Analysts, researchers, or consultants with strong critical thinking skills.Students (senior undergrads / grad students) looking for an intellectually interesting gig.People open to a part-time and non-permanent opportunity. About the project:We’re on the hunt for QAs for autonomous AI agents for a new project focused on validating and improving complex task structures, policy logic, and agent evaluation frameworks. Throughout the project, you’ll have to balance quality assurance, research, and logical problem-solving. This project opportunity is ideal for people who enjoy looking at systems holistically and thinking through scenarios, implications, and edge cases.You do not need a coding background, but you must be curious, intellectually rigorous, and capable of evaluating the soundness and consistency of complex setups. If you’ve ever excelled in things like consulting, CHGK, Olympiads, case solving, or systems thinking — you might be a great fit.What you’ll be doing:Reviewing evaluation tasks and scenarios for logic, completeness, and realism.Identifying inconsistencies, missing assumptions, or unclear decision points.Helping define clear expected behaviors (gold standards) for AI agents.Annotating cause-effect relationships, reasoning paths, and plausible alternatives.Thinking through complex systems and policies as a human would to ensure agents are tested properly.Working closely with QA, writers, or developers to suggest refinements or edge case coverage.How to get started:Apply to this post, qualify, and get the chance to contribute to a project aligned with your skills, on your own schedule. Shape the future of AI while building tools that benefit everyone.RequirementsExcellent analytical thinking: Can reason about complex systems, scenarios, and logical implications.Strong attention to detail: Can spot contradictions, ambiguities, and vague requirements.Familiarity with structured data formats: Can read, not necessarily write JSON/YAML.Ability to assess scenarios holistically: What's missing, what’s unrealistic, what might break?Good communication and clear writing (in English) to document your findings. We also value applicants who have:Experience with policy evaluation, logic puzzles, case studies, or structured scenario design.Background in consulting, academia, olympiads (e.g. logic/math/informatics), or research.Exposure to LLMs, prompt engineering, or AI-generated content.Familiarity with QA or test-case thinking (edge cases, failure modes, “what could go wrong”).Some understanding of how scoring or evaluation works in agent testing (precision, coverage, etc.).Benefits Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs. Take part in a flexible, remote, freelance project that fits around your primary professional or academic commitments. Participate in an advanced AI project and gain valuable experience to enhance your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Banking Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to banking contexts. In this role, you will leverage your expertise in corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world banking dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for banking projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for banking data. Select and analyze complex problems in banking fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability. Required Qualifications Professional experience in banking or related fields (e.g., corporate banking, retail banking, or roles involving loan processing, customer account management, or financial product offerings). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in banking. Preferred Qualifications Relevant certification or training (e.g., Chartered Financial Analyst (CFA), Commercial Banking & Credit Analyst (CBCA), Financial Risk Manager (FRM), anti-money laundering certifications such as CAMS, or accounting certifications such as CPA). Experience mentoring or training others in banking or financial services practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly & Other Expectations This position is based in Palo Alto, CA (in-office, 5 days per week) or fully remote with strong self-motivation required. US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote work, candidates must use a Chromebook, Mac with macOS 11.0 or later, or Windows 10 or later, and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled AI Financial Analysis Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to financial analysis contexts. In this role, you will leverage your expertise in equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment. Responsibilities Utilize proprietary software to provide accurate input and labels for financial analysis projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving equity valuation, fixed income analysis, derivatives pricing, macroeconomic trends, forex trading, cryptocurrency markets, and options strategies. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for financial analysis data. Select and analyze complex problems in financial analysis fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptabil Required Qualifications Professional experience in financial analysis or related fields (e.g., equity analyst, FICC analyst, structured products/derivatives specialist, macro strategist, forex trader, crypto analyst, or options trader). Proficiency in reading and writing informal and professional English. Strong communication, interpersonal, analytical, and organizational skills. Excellent reading comprehension and ability to exercise autonomous judgment with limited data. Passion for technological advancements and innovation in financial analysis. Preferred Qualifications Relevant certification or advanced training (e.g., CFA, FRM, Series 7, or similar financial certification). Experience mentoring or training others in financial analysis or trading practices. Comfort with recording audio or video sessions for data collection. Familiarity with AI or data annotation workflows in a technical setting. Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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📐 About this roleAs a Content analyst, you'll be the driving force behind maintaining the highest quality content generated by our features and models. Collaborating closely with our AI/NLP, product, and solutions engineering teams, you'll bring your editorial expertise and customer-centric thinking to the forefront.We’ll rely on your editorial mindset and customer-centric thinking to make sure we’re delivering content at an enterprise-level of quality.You'll be reporting to our Manager, Content analysis.🦸🏻‍♀️ Your responsibilitiesPut on your editorial and copywriting hats – deeply understand our customer’s needs and priorities, and apply that customer-centric thinking when reviewing model outputsProvide a thorough analysis of model and feature outputs to help us improve qualityFind creative ways to push our models and features to their limits; identify edge cases and corner cases that should be addressed before release to productionClearly communicate your findings to various stakeholders, including AI/NLP, product, and solutions engineeringAs needed, produce reports and statistical analysis to summarize your findings in a digestible formatBe on the lookout for ways we can iterate on our models and workflows to deliver the highest quality content to our customersHelp us build up and scale our content QA processes and capabilities⭐️ Is this you?2+ years working in a content review, copywriting, or editorial capacityA deep love for words, language, and writingHas knowledge of editorial processes or experience working with content marketing, technical writing, or UX writingHas an interest in AI and NLP technologies, including large language models (LLMs)Can think strategically but loves to get into the details of the product and how it worksHas technical curiosity to ask engineers and product good questions about architecture, flows, business logic, etc.Not afraid to speak their mind while contributing to a culture of openness and frank talk

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs our first Data Analyst at Norm, you will establish and own our entire data capability from the ground up. You'll build the analytics infrastructure and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable data insights while building the foundation for future analytics initiatives.You Will:Be the first member of the Data team at Norm, establishing the team and determining what the Data practice at Norm looks like.Build end-to-end data infrastructure from scratch, including pipelines, warehousing, and ETL/ELT processesImplement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflowsCreate measurement frameworks for evaluating AI model performance in real-world legal and compliance contextsDesign and implement self-service analytics capabilities using modern tools like Hex for visualization and dbt for semantic modelingSet up and maintain data pipelines using tools like Fivetran and orchestration platforms like AirflowEstablish data governance practices that meet enterprise security and regulatory compliance requirementsBuild dashboards and KPIs that drive strategic product and business decisionsSkills & Experience - Core5-7 years of analytics experience, ideally with 1-2 years of data engineering exposureStrong analytical background with experience at small startups where you've worn multiple data hatsProficiency with SQL, Python, and modern data stack tools (dbt, Fivetran, Hex, Airflow)Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)Experience building analytics from scratch at early-stage companiesB2B SaaS experience with understanding of enterprise customer analyticsAbility to translate complex business questions into technical data solutionsSkills & Experience - PlusesAnalytics experience in regulated industries (FinTech, RegTech, compliance)Background working with enterprise compliance or legal workflowsStartup experience with rapidly changing analytics requirementsWhat Success Looks Like - 30 DaysDevelop comprehensive understanding of our product and current data landscapeSet up foundational data infrastructure and begin implementing core analytics trackingDocument our data requirements and create a roadmap for analytics capabilitiesEstablish relationships with key stakeholders across Product, Engineering, and Business teamsWhat Success Looks Like - 60 DaysDeploy production data pipelines and establish reliable data collection across the platformLaunch initial set of product analytics dashboards for user behavior and AI model performanceBegin analysis of compliance workflow patterns to identify optimization opportunitiesCreate self-service analytics capabilities for the broader teamComp and Benefits$160,000 - $190,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.

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About Us  Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us  At Observe.AI, speech analysis isn’t just about understanding words—it’s about uncovering insights that shape customer experiences and advance AI voice technologies. As a Speech Analyst, you’ll work with spoken language data to identify patterns, improve speech-based applications, and drive impactful business outcomes. You’ll partner closely with customers and cross-functional teams to configure and automate quality assurance, build speech-based queries, and transform evaluation forms into actionable insights. By applying speech analytics to uncover trends, resolve accuracy issues, and improve business processes, you’ll help organizations achieve measurable ROI and scale their QA programs far beyond traditional limits. If you’re looking for an opportunity where your expertise turns raw conversations into business impact, your ideas shape the future of customer experience, and your growth is supported by solving meaningful challenges with a talented team, this is the place for you. What you’ll be doing  Configure and automate QA by transforming customer evaluation forms into trackable insights within the Observe.AI dashboard. Automate scoring of evaluation forms using speech analytics tools. Audit and resolve accuracy issues in voice analytics data to reduce false readings. Provide thought leadership by refreshing and optimizing speech analytics configurations. Analyze customer business processes & KPIs to identify areas for improvement. Leverage interaction analytics to improve business outcomes and enhance operational efficiency. Collaborate with customer leaders to plan and execute strategic analytical initiatives. Build speech-based queries to track key business metrics and drive measurable ROI. Deliver automated QA processes at scale, enabling customers to analyze up to 100x more evaluations. Create playbooks and impactful stories showcasing business transformation through voice analytics. What you bring to the role  4-8 years of experience working with speech analytic tools to identify key points of interests within contact center interactions Understanding of call center KPIs such as AHT, CSAT, FCR, Upsell,Call Driver, NPS etc Analyze voice and chat interactions to identify trends, pain points, and opportunities across customer touchpoints Excellent verbal and written communication skills, effectively engaging with customers across various scenarios, including inquiries, complaints, and complex support situations Ability to work independently and team player in a technology driven environment Bachelor’s or Master’s degree in Linguistics, Data Science, Computer Science, Cognitive Science, or a related field Compensation, Benefits and Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Primary Purpose ​As an AI Data Specialist, you are responsible for supporting and driving the use of AI tool sets to define, develop, manage, and improve NiCE Enlighten AI’s data solutions.  In this capacity, you will act as an Interaction Analytics data expert who understands key data development and the impact of downstream cases and value to be derived from having data generated from unstructured interactions.  You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and Services teams blending your data expertise with best-in-class technology advancements and client insights to accomplish the team’s objectives.   AI Data Specialists are experts in the value and insights from structured data derived from unstructured Customer Experience (CX) interactions.  It’s that expertise, along with technical fluency that allow the Enlighten AI data team to build scalable out of the box data structures that dive operational and measurable outcomes.  The range of responsibility include the development of the underlying data structures, along with the ability to understand new and evolving client requests for improvement and the ability to incorporate those needs into a successful build and execution plan for your domain expertise. The ideal candidate is intellectually inquisitive, with strong communication, organization, analytical and technical capabilities.  As a self-starter, they are not afraid to roll up their sleeves to learn and validate evolving toolsets while maintaining focus on what success looks like with our ultimate goals for data solutions.  As they gain and maintain system and data expertise, the roll will continue to open up for direct client interactions, feedback capture and build plans. Primary Functions/Responsibilities Serve as the (team) focal point for the development of pre-defined data structures for automated analysis of large sets of CX interactions across all channels (audio, chat, email, social, etc.). Support validations of completed and evolving data structures to ensure high standards for precision and recall are met Test evolving tools from Research that support the development of the data structures. Provide feedback to the Research and Product teams on how we continue to evolve tooling and data integration with CEA products. Work with client requirements to understand new requests and how we can or cannot meet them. Some team members may work directly with clients as a Subject Matter Expert to discuss data solutions, expectations and best practices. Educate field teams (Consulting and Customer Success) on data solutions, definitions, best practices, etc. Provide input on the use of developed data models for both Product and Field teams to optimize the use of developed data assets. As the Enlighten AI team is focused on Data Innovation, team members may be asked to support other projects, solutions and/or deployments using other Enlighten AI solutions. The discussed Research Toolsets are primarily focused on customized topic and semantic modeling components that provide a system driven approach to defining datapoints that mater within CX interactions. AI Data Specialists utilize the output of these tools to create a range of datapoints and provide feedback to improve the accuracy and usability of the system’s outputs. AI Data Specialists are experts in the data, not the underlying AI algorithms and applications (i.e. Data Scientists) . Required Education ​Bachelors degree in Management, Finance, Business Intelligence / Analytics, or a related field. Masters degree preferred. Required Experience/Skills 5+ years of consultative account/program management experience and/or significant experience with business intelligence, analytics, and data visualization as a services provider Experience with use of technology to build and analyze datasets for operational outcomes Experience with the development, positioning and quantification of operational recommendations Excellent oral and written communication skills in English Ability to create and deliver polished presentations using Microsoft PowerPoint to different levels of audience Ability to multi-task and meet deadlines when supporting requests that create competing priorities Ability to develop and maintain good working relationships with cross-functional teams Ability to communicate comfortably across all levels of corporate structure Ability to work with sales executives and assist with opportunities as subject matter expert Demonstrated ability to take the initiative and work in a self-directed manner Ability to thrive in a changing environment Preferred Experience Experience in Management Consulting This job description is not intended to be all-inclusive, and employee will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required. ​This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.     About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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tl;dr: we’re looking for a pragmatic Senior Product Analyst to help us validate qualitative insights and shape the direction of our enterprise-grade video creation platform alongside a Product Manager. Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. Today we’re hiring a Senior Product Analyst to support our Product organization. We’re looking for someone to own and develop the analytics framework we use to understand user behavior & explore our data and shape new product opportunities from data insights. You’ll work on our core capabilities, leveraging your expertise to help us validate qualitative insights and shape the products direction alongside a Product Management counterpart. As a Senior Product Analyst, you’ll: Own the product analytics framework for your product area, creating the measurement & tracking plan for capturing the right data, and defining the metrics and methodology to build our understanding of our users’ behavior across this crucial product area. Partner with our PMs, Data Engineer, and other Analysts to evolve our analytics capabilities in line with our product roadmap, anticipating the questions that’ll matter for our product and company strategy. Work within the DBT pipeline to shape the analytics tables in a way that supports your own work but also expose the basics of the product in an accessible way for the rest of the team. Partner with a Product Manager to validate qualitative insights, help us understand how we measure overall success for key strategic investments, while navigating an ambiguous and fast-moving product area. Help us unlock new uses and drive revenue growth through insights and data. We’re attempting to shift the current paradigm of video creation and enable anyone within an enterprise to create high quality video content. You’ll help us understand how successfully we’re achieving this goal. You should apply if you bring: 5+ years of experience as a product analyst/data analyst working on digital products where your analysis has helped shaped product direction. Strong analytical skills. You can turn ambiguous questions into well defined metrics. Strategic and business skills, allowing you to understand and anticipate the questions that will impact the company. Proven track record of influencing product direction. Effective communication skills. You excel when utilizing data visualization to communicate data-driven decisions. An approach grounded in pragmatism over perfectionism. You know when the data you have is good enough to answer a question and you are comfortable in contexts where pace of delivery can be of greater importance than the perfect model. Deep familiarity with SQL. Experience with DBT pipelines or equivalent data pipeline tools in a bonus, not a prerequisite. At Synthesia we expect everyone to: Be customer first Own it and go direct Be fast & experimental Make the journey fun You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2 You can expect in return... 💸 A competitive salary + stock options in our fast growing Series D start-up. 📍 A hybrid or remote-friendly environment for candidates based in Europe. You can work fully remote if you're not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices. 🏝 25 days of annual leave + public holidays in the country where you are based. 🥳 Regular socials. 👉 A generous referral scheme. 🚀 A huge opportunity for career growth as you’ll help shape a market-defining product. Other country-specific benefits based on the country you are hired in.  

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About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more. Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI! Analyst, Enterprise Analytics We are looking for talented candidates to join our Hive Media team, a unit of the business focused on serving media companies, agencies, and advertisers with AI-powered products. As an Analyst on our Enterprise Analytics team, you will work closely with the Hive Media team to support delivery and growth of our media business. You will be expected to keep up with multiple projects at a time and apply your strong quantitative skills to analyze priorities, metrics, and client solutions and strategies. This is a great opportunity to be an integral part of a fast-growing startup, and you’ll be able to learn the ins and outs of how to support a team of innovative leaders who relentlessly pursue the best experience possible for all of our clients. ResponsibilitiesConduct internal and external analysis on Hive offerings to refine solutions and commercialization strategiesCommunicate outcomes of various projects and analytics to ensure growth and development of business goals Collaborate with machine learning and engineering teams in developing working solutions that benefit the client Enhance awareness in the targeted business community of Hive and our products / servicesMaintain awareness of industry best practices for data maintenance handling as it relates to your roleAdhere to policies, guidelines and procedures pertaining to the protection of information assetsReport actual or suspected security and/or policy violations/breaches to an appropriate authority Requirements You have a Bachelor's degreePreferred: You have 0-1 years of work experience Excellent written and verbal communication skillsYou have demonstrated success in a competitive environmentYou are highly self-motivated and ambitious in achieving goalsStrong team player, but can work and execute independentlyYou’re driven; no one needs to push you to excel; that’s just who you areYou are hungry to learn and you actively look for opportunities to contributeYou are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what's the role all about?  As a Cloud FinOps Business Partner, you will help NiCE global cloud business units to maximize every dollar spent on the cloud and help speed delivery of our solutions. You will promote the FinOps and governance principles which are a combination of systems, best practices, and culture designed to increase our company’s ability to understand cloud costs, generate cost optimization and leverage cloud operations and governance across the organization. We are looking for a Cloud FinOps Business Partner who will collaborate with DevOps and R&D teams, product managers, business operations, Finance, Legal, and IT to boost the company cloud efficiency and cloud governance. How will you make an impact? Join forces with NiCE business units (tech, financials and business partners) to maximize cloud margin, enhance cloud governance and increase cloud business transparency to various levels in the organization. Create metrics, reports, & recommended optimization plans for financial excellence in the cloud. Collaborate with engineering and development teams to build cost-aware architectures and implement cost controls. Identify, lead and manage cloud service providers incentives plans and other cloud commercial benefits. Explore and implement cloud monitoring and optimization tools to enhance cloud business observability and proactive ("AI driven", "hands free", "automation") cost optimization. Lead short and long-term financial planning, analyze cloud cost and usage reports and work with business units on cloud budget planning and tracking. Go to person for Cloud financials and governance guidance and support. Develop and maintain cloud cost forecasting models and budgets. Work with the global accounting groups to ensure efficient and accurate billing process and Cloud financial governance. Have you got what it takes? Professional: Bachelor’s degree preferably in Business Management, Economics /Accounting or Information Technology. Understanding of Azure cloud platforms, consoles, and services. 2 to 5 years of experience in Azure (mandatory) and AWS (preferred) Cost Management and FinOps principles in large scale organizations. 3+ years of experience working cross functionally in large global enterprise. Understand technical and engineering issues and drive them to closure by bringing key stokeholds for decision-making. Advanced Office skills (a master in Excel is an advantage). Familiarity with POWER BI Familiarity with accounting principles. Personal: Good focus and attention for details. Excellent problem-solving, analytical skills, negotiator. Highly organized and creative. A team player who can also work effectively independently when required. Manage and empower employees without direct authority. Excellent communication skills, with the capacity to effectively engage stakeholders across all organizational levels. Self-learner with ability to manage complex tasks with minimal supervision. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Requisition ID: 7484 Reporting into: Director, Business Finance Job type: Individual contributor. #LI-HybridAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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