Senior Data Product Analyst - Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customersranging from the worlds top investment funds to Fortune 500 companiesdepend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culturerecognized by Inc. as a Best Workplace for three consecutive yearsemphasizes transparency, ownership, and continuous mastery. What Its Like to Work at YipitData:YipitData isnt a place for coastingits a launchpad for ambitious, impact-driven professionals. From day one, youll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData:Ownership That Matters: Youll lead high-impact projects with real business outcomesRapid Growth: We compress years of learning into monthsMerit Over Titles: Trust and responsibility are earned through execution, not tenureVelocity with Purpose: We move fast, support each other, and aim highalways with purpose and intentionIf your ambition is matched by your work ethicand youre hungry for a place where growth, impact, and ownership are the normYipitData might be the opportunity youve been waiting for. About Signals:Signals is YipitDatas Company Intelligence platform designed to help private equity firms, venture capital investors, finance, and corporate teams identify, diligence, and monitor software and technology companies using alternative data. Signals provides proprietary spend insights on 250K companies into a unified web platform, Chrome extension, and data feeds. Customers use Signals to discover emerging companies, validate market trends, conduct diligence with deeper data (including invoice and product-level detail), and monitor portfolio performance using continuously refreshed alternative dataAbout The Role:Our Signals product is quickly growing, and we are scaling our Data Product team to support new customer growth and product coverage expansion through our application, data feeds and AI agent experiences. We are looking for a highly skilled and experienced Senior Data Product Analyst to join our Data Product team. This individual will be responsible for managing a team of Data Product Analysts and will own end-to-end delivery for product initiatives, translating product goals into clear plans, leading execution, and ensuring impact across analysis, data operations, and QA workflows. As a Senior Data Product Analyst, Team Lead, you will:Own strategy and end-to-end execution for a portfolio of high-impact data product initiatives, driving measurable product value through strong product and data judgmentLead a team of 2 Data Analysts who:Deliver product-facing analyses and datasets, turning messy inputs (ERP financial data, web scraped data, invoices) into clean data insightsBuild and maintain evaluation datasets and QA guidelines to measure and improve our AI and LLM powered workflows including defining quality targets, running experiments, and iterating based on resultsPartner with Engineering to translate product needs into scalable workflows for our data products including defining business rules /requirements and improving QA / validation logicWork primarily in Databricks, Google Sheets and with our proprietary AI agent tools, leveraging SQL, PySpark, and PythonOperate as a player-coach, setting a high bar for speed, rigor, and innovation, balancing hands-on efforts yourself for the highest-impact work (complex analyses, ambiguous edge cases, AI evaluation design, and deep dive investigations) with coaching the team so execution scales beyond youOwn delivery planning and alignment, translate product goals into clear requirements and execution plans (scope, milestones, risks), apply strong product and data judgment to define what matters, and keep stakeholders aligned through consistent updatesRun delivery day to day, drive prioritization and tradeoffs across competing requests, ensure timelines are met, and track/report progress, blockers, and next steps against your planPartner cross-functionally with Data Science,Engineering, and other key teams to identify leverage points, shape solutions, and drive adoption of improvements that increase product value and operational scalabilityHave the opportunity to grow your career in the team with increasing levels of responsibility and diversified ownership areasYou Are Likely To Succeed If:You have 5 years of experience as a Data Analyst, Data Scientist, Data Engineer or other technical function, including working with large datasetsYou have 1 years of experience leading others to deliver strong outcomes, through direct people management and/or team leadership (mentoring, coaching, setting direction, reviewing work, and driving accountability). Nice to have: 1 year of direct people management experience (including performance management)You have experience working in a high-growth environment and managing many processes in parallelYou have experience owning end-to-end delivery for complex initiatives, applying strong product and data judgment to define success metrics, make pragmatic scope tradeoffs, and drive outcomes, including:Scoping ambiguous problemsBuilding execution plansManaging tradeoffsKeeping stakeholders aligned through clear written and verbal updatesYou are familiar working with large-scale datasets using Python and SQL (nice to have: PySpark, Databricks, and modern AI-assisted tools)You have experience using AI and LLM tools to accelerate data work including generating/refactoring SQL and Python, exploring datasets, drafting labeling guidelines, and validating outputs before applying them to real workflowsYou are excited to identify and pilot AI driven initiatives, turning repetitive manual work into scalable processes through automation and better tooling while balancing risks and accuracy considerations of new AI systemsYou have experience with data transformation techniques, maintenance of data pipelines, and quality assurance techniquesYou are excited about the potential to train and raise the teams ability to own projects, execute independently, and deliver consistentlyYou are available to work US Eastern time zone hoursAdvanced English proficiency (B2C1 or higher). What We Offer:Our compensation package includes competitive salary and comprehensive benefit offerings. Opportunities to build a career as a manager or individual contributor through our career ladder that promotes based on impact. You will have regular career conversations with your manager where you will discuss your short and long-term career goals. We are committed to helping you develop in your career and offer the potential for internal mobility opportunitiesWe care about your personal life, and we mean it. We offer flexible work hours, a remote-first work environment, flexible vacation, team events, learning reimbursement, and more!Your growth at YipitData is determined by the impact that you make, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. Personal laptopHealth and wellness packageCandidates must have primary residency (and be physically located) in the country of hire (AKA Brazil) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Kindly submit your application and CV in English.