Senior Data Analyst (MedTech)

YipitData

1d•$175,000 - $200,000•Remote

About The Position

YipitData is a leading market research and analytics firm specializing in the disruptive economy, utilizing proprietary technology to analyze billions of alternative data points across various sectors. The company operates globally with offices in the US, APAC, and India, and is recognized for its award-winning, people-centric culture that emphasizes transparency, ownership, and continuous mastery. YipitData is described as a launchpad for ambitious, impact-driven professionals, offering opportunities for rapid growth, meaningful work, and career-shaping exposure. The MedTech business is a fast-growing vertical providing institutional investors with data products covering the medical technology and devices landscape. This role is crucial for the next stage of growth, requiring a player-coach to optimize team performance, evaluate new datasets (claims, scripts, pharma adjacencies, healthcare data), expand coverage, and innovate in a competitive landscape.

Requirements

4-8+ years of experience in data analytics, data science, or data product development.
Track record of building data assets in complex, data-intensive domains.
Strong technical skills mirroring a senior individual contributor (IC) profile.
Experience working with large-scale, messy, real-world datasets.
Healthcare data experience (worked with healthcare, life sciences, pharma, biotech, or medical device data in a professional context).
Strong problem-solving and analytical judgment.
Clear, direct communication style.

Nice To Haves

Prior people management experience (managed a small team or operated as a team lead/senior IC with significant mentorship and project leadership).
Experience in alternative data, financial data products, or investor-facing analytics.
Demonstrated ability to evaluate and scope new data sources end-to-end.
Track record of building new data assets from zero to one.
Experience with AI/ML tools and workflows.

Responsibilities

Manage a team of 3-4 data analysts within the first 6-12 months, including coaching and performance management.
Operate as a player-coach, staying hands-on with data while delegating operational execution.
Set clear expectations, provide regular feedback, and foster a culture of ownership, quality, and accountability.
Coach team members on effective use of AI agents, automation, and tooling to maximize impact.
Develop team members' technical skills and domain knowledge, creating growth paths aligned with business needs.
Own overall data quality and accuracy across MedTech research products and analyses.
Review and guide methodology decisions across the team to ensure rigor and consistency.
Motivate and organize the team to continually improve data workflows, processing efficiency, and output quality.
Partner closely with the MedTech Research team to ensure data products align with research priorities and client needs.
Identify, scope, and lead evaluations of new data sources (claims, prescription, adjacent healthcare datasets), assessing commercial viability, quality, coverage, and fit.
Lead the Data team in developing methodology and validation frameworks for new data domains.
Stay current on the healthcare data landscape to identify opportunities.
Translate sector priorities into team execution, focusing on the highest-impact work.
Contribute to MedTech roadmap discussions and prioritization with a data-informed perspective.
Identify opportunities to improve team workflows and processes, standardize best practices, and drive efficiency gains.
Communicate priorities, timelines, and risks clearly to the Sector Head and cross-functional partners.