Top Data Analyst Jobs Openings in 2025

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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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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The 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.Requirements Excellent 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. Can 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 $15/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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At Mindrift, innovation meets opportunity. We believe in using the power of collective human intelligence to ethically shape the future of AI.  The 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.Requirements Excellent 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. Can 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 $38/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 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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YOUR MISSION: As a Senior Data Analyst on our Business Operations team, you’ll be at the heart of how we use data to drive growth, efficiency, and clarity across our commercial organization. You will partner with Sales, Marketing, Customer Success, and Product teams to transform raw data into insights that shape strategy and execution. Your work will help us understand performance, design smarter processes, and accelerate how our go-to-market teams operate. This is a unique opportunity to combine the technical depth of a data analyst with the strategic impact of a business operator. You’ll bring analytical rigor to some of our biggest questions, and build data products and frameworks that scale with the company. IN THIS ROLE YOU WILL: Take ownership of end-to-end analytics projects in GTM domain: from defining the problem, to pulling and modeling data, to visualizing insights, to telling the story. Partner with GTM leaders to design dashboards, KPIs, and reporting frameworks that drive accountability and decision-making. Run exploratory analyses to uncover growth opportunities, efficiency gaps, and trends across revenue streams and customer segments. Build and deploy predictive models such as customer lifetime value (LTV), churn risk, and upsell propensity to guide commercial strategy. Conduct time-series forecasting for metrics like product usage, revenue, and pipeline performance to support planning and target-setting. Work with analytics engineers to improve and scale our data models, ensuring high-quality, reliable sources for business-critical reporting. Define and maintain data tracking requirements across commercial tools (CRM, marketing automation, product analytics). Collaborate cross-functionally to turn strategic goals into measurable outcomes and provide clarity on performance against targets. WHAT YOU BRING TO THE TABLE: 5+ years of experience in data analytics or product analytics, with 3+ years focused on the GTM domain (Sales, Marketing, Customer Success) at a high-growth tech company or in consulting/finance with strong analytical and commercial exposure. Strong proficiency in SQL (comfort with Python or R for deeper analysis is a plus) Experience applying statistical and machine learning techniques (e.g., regression, classification, survival analysis, time-series forecasting) to real-world business problems. Experience with data visualization tools (Looker, Tableau, or similar, open source tools like Superset is a plus). Proven ability to design metrics, build dashboards, and tell compelling stories with data. Experience working with sales and marketing data (CRM systems like Salesforce, marketing automation tools, customer success platforms). A strong mix of technical skills and business acumen you can both dig into a dataset and explain what it means for the business. Excellent communication skills you can simplify complexity and influence stakeholders across all levels. Comfort working in fast-moving, ambiguous environments, with a proactive and collaborative mindset. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture, and enjoy an immersive onboarding experience in Berlin to dive into our product and culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. A beautiful office with flair in the heart of NYC with all the conveniences, such as social area, snacks, and drinks. Competitive compensation and equity package. Flexible working hours, unlimited PTO, and travel opportunities. Access to a training and development budget for continuous professional growth. ClassPass membership, Nilo Health, Health insurance, weekly sponsored office lunches. Regular team events, game nights, and other social activities. Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Quick SQL Test & Technical Interviews → Bar Raiser Interview  Salary Range$140,000—$165,000 USD  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Worth AI, a forward-thinking company in the computer software industry, is looking for a detail-oriented and analytical individual to join their team as a Senior Data Analyst. At Worth AI, we strive to drive impactful decision-making through insights derived from data, while upholding values of one team, extreme ownership and creating raving fans both internally and for our customers.As a Senior Data Analyst within our fintech organization, you will play a critical role in analyzing and optimizing the data that drives credit decisioning, underwriting, and fraud prevention models. You will work closely with Finance, Risk, Product, and Engineering teams to mine large and complex datasets, build dashboards, write business-critical queries, and help steer the company’s AI-driven underwriting strategy. This role requires both business acumen and technical proficiency, including a solid understanding of data engineering principles and the ability to deliver scalable analytics solutions in a regulated environment.Responsibilities Mine and analyze large-scale credit, transactional, and behavioral datasets to identify trends, anomalies, and insights that inform credit risk, underwriting, fraud, and pricing strategies. Write performant SQL queries to extract, transform, and analyze data across structured and semi-structured sources (including loan-level, customer, and bureau data). Design, build, and maintain interactive dashboards and reporting tools to support Finance, Risk, Credit, and Executive teams in monitoring key performance indicators. Partner with Data, Finance,  Product and Engineering teams to define and track key metrics for credit performance, loss forecasting, and portfolio health. Support the development and ongoing evaluation of AI/ML models by providing exploratory data analysis, historical performance context, and business rule validation. Collaborate with data engineering and data science teams to ensure pipelines are reliable, secure, and meet both operational and regulatory standards. Automate recurring reports and analyses to improve visibility and reduce manual workflows across the credit and finance lifecycle. Contribute to model governance efforts by ensuring documentation, auditability, and transparency of data inputs used in risk models and decision engines. Stay informed on regulatory and compliance requirements related to data usage in financial services (e.g., Fair Lending, ECOA, GLBA) and align analytics practices accordingly. Requirements Bachelor's degree in Data Science, Statistics, Finance, Computer Science, or a related technical field. 4+ years of experience in a data analytics or business intelligence role, ideally in a fintech, financial services, or credit risk environment. Advanced SQL skills and experience working with cloud data platforms (e.g., AWS Redshift, Athena, Snowflake, BigQuery). Strong experience with data visualization tools like Tableau, Power BI, or Looker, and the ability to build intuitive dashboards for business stakeholders. Solid understanding of credit risk concepts, underwriting processes, and key lending KPIs such as delinquency, charge-off rates, loss curves, and approval funnels. Exposure to AI/ML-based decision systems, especially in underwriting, fraud detection, or credit scoring contexts. Working knowledge of data engineering fundamentals and modern data stack tools (e.g., dbt, Airflow, ETL pipelines). Proficiency in Excel for detailed analysis and cross-functional reporting. Bonus: Experience with Python or other scripting languages for data analysis and automation. Excellent communication and problem-solving skills, with the ability to present complex data insights to technical and non-technical stakeholders alike. High standards for data integrity, governance, and regulatory compliance in a financial environment. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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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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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Labelbox is seeking Subject Matter Experts (SMEs) to support high-impact AI data projects across a range of specialized domains, including Math, STEM, Programming, and Internationalization (i18n). As an SME, you’ll bring deep domain knowledge to help shape data labeling workflows, ensure quality, and guide contributor success. This is a contract-based role, deployed per project depending on expertise needs. Employment Type: Project-based, paid hourly Your Impact Design project structures and labeling workflows tailored to domain-specific goals Develop clear contributor guidelines and quality assurance frameworks Define ideal contributor profiles and task acceptance criteria Collaborate with internal teams to ensure subject matter accuracy and relevance What You Bring Proven expertise in one or more relevant domains (e.g., Math, Programming, i18n, etc.) Experience designing or reviewing data workflows, educational content, or technical documentation Strong communication and organizational skills Bonus Points Prior experience with data labeling, ML/AI, or evaluation projects Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence. #LI-RemoteLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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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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About Us:Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. Why Join Our Team:Innovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA, unless explicitly noted otherwise in the job descriptionAbout the role: We’re seeking Call Center Representatives to be founding members of our AI Feedback Team. In this role, you will be instrumental in helping us evaluate and iterate on our new centralized customer call center initiative.This is a contract role supporting a 3-month pilot, with the potential for extension based on performance and project needs.What You Will Be Doing:Serve as the first point of contact for patients and members via phoneTriage incoming calls and direct inquiries appropriatelyProvide structured feedback on call processes, workflows, and toolingCollaborate closely with our data and AI teams to inform ongoing developmentHelp shape the voice and experience of AI in healthcareWhat We're Looking For:Previous experience in a customer support or call center roleExperience working with healthcare payors or providers is strongly preferredComfortable using call center tools, computers, and dialersStrong verbal communication skills and attention to detailSelf-starter who thrives in fast-paced, evolving environments

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