{"id":129572,"url":"https://alion.io/job/yipitdata-senior-data-analyst-medtech","title":"Senior Data Analyst (MedTech)","company":{"id":1580,"name":"YipitData","domain":"yipitdata.com","url":"https://alion.io/company/yipitdata","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":39,"ghost_share":0,"stale_share":0.513,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":175000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false}],"status":"live","first_seen_at":"2026-08-27T06:59:21Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-17T00:31:47Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":49},"description":"About Us:\nYipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. 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.\nOur data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers-ranging from the world’s top investment funds to Fortune 500 companies-depend 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.\nWe operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.\nWhat It’s Like to Work at YipitData:\nYipitData isn’t a place for coasting-it’s a launchpad for ambitious, impact-driven professionals.\nFrom day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.\nWhy Top Talent Chooses YipitData:\nOwnership That Matters: You’ll lead high-impact projects with real business outcomes\nRapid Growth: We compress years of learning into months\nMerit Over Titles: Trust and responsibility are earned through execution, not tenure\nVelocity with Purpose: We move fast, support each other, and aim high-always with purpose and intention\nIf your ambition is matched by your work ethic-and you're hungry for a place where growth, impact, and ownership are the norm-YipitData might be the opportunity you’ve been waiting for.\nAbout the Role:\nYipitData's MedTech business is one of the fastest-growing verticals in the company. We provide institutional investors with differentiated data products covering the medical technology and devices landscape.\nThe next phase of growth requires us to continue optimizing team performance while embracing new dataset evaluation and buildout - claims data, scripts data, pharma adjacencies, and other healthcare data domains - ultimately aimed at expanding our coverage universe and deepening our competitive moat. At the same time, we're navigating an intensifying competitive landscape that demands proactive data innovation.\nThis role is the single biggest unlock for our next stage of growth. We're looking for someone who can operate as a player-coach - staying close to the data while building and leading a team - to own both the ongoing quality and delivery of MedTech data products and the evaluation and development of new datasets that will fuel the sector’s growth.\nAs Our Senior Data Analyst (MedTech), You Will:\nTeam Leadership & Development\nManage a team of 3-4 data analysts within your first 6-12 months, with responsibility for coaching and performance management\nOperate as a player-coach - stay hands-on with the data as needed while delegating operational execution across the team\nSet clear expectations and provide regular feedback, build a culture of ownership, quality, and accountability\nCoach team members on effective use of AI agents in their daily workflows, ensure your team is leveraging automation and tooling to maximize impact\nDevelop team members' technical skills and domain knowledge, create growth paths that align individual development with business needs\nExisting Product Ownership & Quality\nOwn overall data quality and accuracy across MedTech research products and analyses - including Research reports, company-level QA, coverage updates, and ad-hoc investigations\nReview and guide methodology decisions across the team, ensure rigor and consistency in how we process, validate, and deliver data\nMotivate and organize the team to continually improve data workflows, processing efficiency, and output quality\nPartner closely with the MedTech Research team as the data team counterpart, ensuring data products align with research priorities and client needs, and launching new coverage where applicable\nNew Dataset Evaluation & Product Development\nIdentify, scope, and lead evaluations of new data sources - including claims data, prescription data, and adjacent healthcare datasets - assessing commercial viability, data quality, coverage, and fit with our existing product suite\nLead Data team in development of methodology and validation frameworks for new data domains, ensuring accuracy and reliability meet institutional investor standards\nWork with Sector Head to stay current on the healthcare data landscape - new data vendors, evolving regulatory environments, competitive product launches - to identify opportunities before they become obvious\nStrategic Contribution\nTranslate sector priorities into team execution - ensure the team is focused on the highest-impact work at any given time\nContribute to MedTech roadmap discussions and prioritization, bring a data-informed perspective on what to build next and where the biggest opportunities lie\nIdentify opportunities to improve team workflows and processes, standardize best practices and drive efficiency gains\nCommunicate priorities, timelines, and risks clearly to the Sector Head and cross-functional partners\nYou Are Likely To Succeed If:\n4-8+ years of experience in data analytics, data science, or data product development, with a track record of building data assets in complex, data-intensive domains\n Strong technical skills mirroring a senior individual contributor (IC) profile:\nExperience working with large-scale, messy, real-world datasets - you know how to find signal in noise and build robust methodology around imperfect data\nHealthcare data experience - you've worked with healthcare, life sciences, pharma, biotech, or medical device data in a professional context. Deep MedTech expertise is preferred but not required; we value the ability to ramp quickly in a specialized domain.\nStrong problem-solving and analytical judgment - you can make high-quality decisions in ambiguous situations, prioritize effectively, and know when to go deep vs. when to move fast\nClear, direct communication style - you can explain complex data concepts to non-technical stakeholders and advocate for your team's priorities\nPreferred:\nPrior people management experience - you've managed a small team of analysts or data professionals, or you've operated as a team lead / senior IC with significant mentorship and project leadership responsibilities\nExperience in alternative data, financial data products, or investor-facing analytics - you understand what institutional investors need from data and how to build products that meet that bar\nDemonstrated ability to evaluate and scope new data sources end-to-end - from identifying a potential dataset through assessing quality, coverage, cost, and commercial viability\nTrack record of building new data assets from zero to one - not just maintaining existing systems, but conceiving, validating, and shipping something new\nExperience with AI/ML tools and workflows - not necessarily building models, but leveraging AI for data processing, quality assurance, or analytical acceleration\nPlease note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.\nOur compensation package includes comprehensive benefits, perks, and a competitive salary: \nWe 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!\nYour 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!\nBase Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $175,000-$200,000 with eligibility for an annual performance-based bonus of up to10%. Final compensation may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, and internal team benchmarks.\nThe compensation package also includes equity.\nThis role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.\nWe 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. 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