Senior Data Analyst, MedTech

🕒 August 27

🇺🇸 United States – Remote

💵 $175k - $200k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Manage a team of 3–4 data analysts within the first 6–12 months, including coaching and performance management • Operate as a player-coach, remaining hands-on with data while delegating operational execution • Set expectations, provide feedback, and build a culture of ownership, quality, and accountability • Coach team members on effective use of AI agents and automation tooling • Develop team members’ technical skills and domain knowledge • Own data quality and accuracy across MedTech research products and analyses • Review and guide methodology decisions and ensure rigor in data processing, validation, and delivery • Improve data workflows, processing efficiency, and output quality • Partner with the MedTech Research team to align data products with research priorities and client needs • Identify, scope, and lead evaluations of new data sources, including claims, prescription, and adjacent healthcare datasets • Lead methodology and validation framework development for new data domains • Monitor healthcare data vendors, regulatory environments, and competitive product launches with the Sector Head • Translate sector priorities into team execution • Contribute to MedTech roadmap discussions and prioritization • Improve team workflows and processes, standardize best practices, and drive efficiency gains • Communicate priorities, timelines, and risks to the Sector Head and cross-functional partners

🎯 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 profile • Experience working with large-scale, messy, real-world datasets • Professional experience with healthcare, life sciences, pharma, biotech, or medical device data • Strong problem-solving and analytical judgment • Clear, direct communication style • Must not currently or in the future require visa sponsorship • Prior people management experience preferred • Experience in alternative data, financial data products, or investor-facing analytics preferred • Ability to evaluate and scope new data sources end-to-end preferred • Track record of building new data assets from zero to one preferred • Experience with AI/ML tools and workflows preferred

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity • Annual performance-based bonus of up to 10%

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