--- title: 'Senior Data Analyst, Investor at YipitData (Alternative)' canonical: 'https://feeny.ai/job/senior-data-analyst-investor-yipitdata-alternative-united-states-pgc9h1bhfz32' type: 'job' last_seen: '2026-09-16' --- # Senior Data Analyst, Investor at YipitData (Alternative) - **Company:** YipitData (Alternative) - **Location:** United States - **Work type:** remote - **Posted:** 2026-09-15 - **Last confirmed live:** 2026-09-16 - **Apply:** https://job-boards.greenhouse.io/yipitdatajobs/jobs/8202297 ## Job description ## About Us YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance, market trends, and competitive dynamics. Our proprietary technology analyzes billions of alternative data points to produce insights that inform important business and investment decisions. We operate globally, with offices in the US, APAC, and India. Our people-centered culture—recognized by Inc. as a Best Workplace for three consecutive years—is built around transparency, ownership, and continuous learning. What It's Like to Work Here - Ownership is real, not aspirational. Analysts own data products from methodology development through delivery and directly influence products used by leading investment firms. - Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. - AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible. ## About the Role You’ll join one of our sector teams, covering industries such as consumer goods, software, or financial services. These teams build and maintain the analytical data products our clients rely on to understand companies and markets. As an analyst on the team, you’ll develop deep expertise in a portfolio of proprietary datasets and methodologies. You’ll be responsible for ensuring the accuracy and reliability of your products, improving the way they are built, and identifying insights and opportunities that create value for clients. You’ll initially work closely with a Data Lead to learn our datasets, methodologies, and quality standards. As your expertise grows, you’ll take on greater ownership, tackle more complex products, and help shape how your team works. This role is well suited to someone who enjoys solving difficult analytical problems, cares deeply about accuracy, and wants to build data products that people depend on—not simply deliver one-off analyses. We’re open to hiring this role at multiple levels. While the position is posted as Senior Data Analyst, we encourage applications from candidates with a range of experience who can demonstrate strong analytical judgment, ownership, and growth potential. Final title, scope, and compensation will be calibrated based on experience and demonstrated skills. What You’ll Do: - Own data products end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise. - Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights. - Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking — even when information is incomplete or ambiguous. - Use AI and tooling to drive meaningful leverage — increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs. - Partner with Research, Engineering, Product, and other teams to solve problems, improve workflows, and deliver high-quality products. - Identify opportunities to improve products and processes — whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients. Over your first year, you might: - Develop a new methodology that significantly improves the accuracy of an existing investment product. - Build an entirely new research product covering an adjacent market or investment theme. - Evaluate a new alternative dataset and determine how it can strengthen existing estimates or unlock new analytical capabilities. - Create an AI-powered analytical workflow that dramatically reduces the time required to develop recurring research. - Design a new dashboard or AI experience that changes how clients explore sector data. You Are Likely To Succeed If - You have 4+ years of experience in data analytics, ideally in financial services, consulting, data science, product analytics, high-growth technology, or another environment where rigorous analysis informs important decisions. We value demonstrated capability and trajectory alongside years of experience. - You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows and automations. - You enjoy turning complex datasets into scalable products and methodologies that customers rely on. - You quickly develop strong mental models of unfamiliar businesses, industries, and datasets, then use them to improve methodologies and uncover opportunities. - You thrive in ambiguous environments, proactively identifying what matters and taking ownership of problems beyond your immediate scope. - You communicate complex concepts clearly—including methodologies, assumptions, risks, and tradeoffs—to technical and non-technical audiences. - You are curious about industries, competitive dynamics, and the factors that drive company performance. - You actively use AI tools and are excited about finding fundamentally better ways to build analytical products. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: - We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more! - Your growth at YipitData is determined by the impact that you are making, 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. See more on our high-impact, high-opportunity work environment above! - The annual base compensation for this position is anticipated to be $140K–$190K, reflecting the range of levels at which we may hire. Final title, scope, and compensation will be determined based on the candidate’s experience, knowledge, skills, abilities, and internal team benchmarks. The total compensation package includes a mix of base, bonus, equity, and benefits This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. 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. [Job Applicant Privacy Notice](https://www.yipitdata.com/careers/job-applicant-privacy-notice) ## About YipitData (Alternative) ## Company Overview - **One-liner**: YipitData provides market intelligence to brands and investors by tracking trillions in live consumer and business spend through proprietary data sources. - **Entity Type**: Private (Venture Capital-backed) - **Headquarters**: New York, NY, USA (19 W 44th Street, 16th Floor) - **Founded**: 2013 (founded as Yipit; company rebranded to YipitData) - **Founders**: Vinicius Vacanti (Co-Founder & CEO) ## Core Business - Primary industry: Market Intelligence, Data & Analytics, Business/Productivity Software - Target customers: B2B — focused on hedge funds, asset managers, brands, retailers, and M&A advisory firms - Mission statement: "To give brands and investors the market intelligence they need to see what’s happening right now and take action." ## Products & Services - **Proprietary Data Network**: Combines owned B2C and B2B panels with 40+ always-on sources including B2B spend, cloud spend, consumer receipts, and card transactions. - **AI Insight Agent**: An AI-powered tool allowing users to ask questions in plain language about a company, market, or competitor and receive structured, actionable analysis. - **Benchmarking & Market Share**: Tools to compare public or private company growth, pricing, and customer metrics against competitors, broken down by region, channel, or segment. - **Consumer Insights**: Analysis of who is buying, how often, and why — including cross-shopping, churn, and average spend. - **Trend Spotting**: Early identification of shifts in consumer behavior before they appear in earnings calls or public reports. - **M&A Advisory & Diligence**: Data validation for target companies, including revenue trajectory and market position. ## Market Standing - **Valuation**: Not publicly disclosed (PitchBook reports the company as venture capital-backed with a "Later Stage VC" status) - **Key Metric**: Over $1.8 trillion in B2B spend tracked; covers 500,000+ companies; 650+ customers - **Total Funding**: Approximately $475M raised in a Series E round led by Carlyle (December 2021), with subsequent debt refinancing and later-stage rounds through 2025 - **Notable Investors**: Carlyle (lead in Series E), 16 total investors per PitchBook - **Growth Signals**: 800+ employees globally; location-flexible with offices in NYC, APAC, Latin America, and India; recent M&A acquisition of Edison (Communication Software) in September 2021 ## Competitive Advantages - **Proprietary Data Network**: Owns and operates its own B2C and B2B panels, combined with 40+ licensed datasets (card transactions, receipts, web data, app usage) — not reliant on third-party model outputs. - **Real Transaction Data**: Insights are "powered by real transactions, not model outputs," providing a high degree of accuracy for high-stakes investment decisions. - **Dedicated Analyst Support**: Pairs data infrastructure with dedicated analysts to help clients move from signal to action. - **Broad Coverage**: Tracks trillions in live consumer and business spend across 500,000+ companies. ## Strategic Focus - **AI-Powered Insights**: Continued investment in the AI Insight Agent to deliver structured, plain-language analysis. - **Global Expansion**: Hiring across the US, APAC, Latin America, and India. - **Product Depth**: Enabling users to drill into data by time period, region, channel, or segment, and view panel sizes and collection methods behind each insight. - **M&A & Diligence**: Growing the advisory side to validate targets and stress-test assumptions with hard data. ## Why Work Here - **Culture**: Built on ten core values: Impact, Judgment, Protective, Efficiency, Transparency, Self-Improvement, Experimental, Selflessness, Inclusivity, and Positivity. Described as hiring "sprinters, not coasters" — people who choose growth over comfort. - **Work Model**: Location-flexible — supports fully remote, hybrid, and fully in-office work. Offices in NYC, plus employees across the US, APAC, Latin America, and India. - **Growth & Ownership**: Emphasizes high expectations, impact, and ownership. "If your ambition is matched by your work ethic... YipitData is the opportunity you’ve been waiting for." - **Team**: 800+ employees globally. Leadership includes experts in data science, finance, technology, sales, and research (e.g., Steve Pulec, CTO; James Hart, President; Steve Seperson, CFO). - **Benefits**: Employee benefits mentioned include supporting remote/hybrid/in-office work options. ## Sources 1. [yipitdata.com](https://www.yipitdata.com/) 2. [yipitdata.com](https://www.yipitdata.com/careers/about) 3. [yipitdata.com](https://www.yipitdata.com/about) 4. [yipitdata.com](https://www.yipitdata.com/careers) 5. 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