Data Analyst

At MedScout, we believe there's a massive opportunity to create the first revenue acceleration platform built specifically for sales and marketing teams at life science companies.

We founded the company in early 2021 and have made significant commercial progress. We’ve raised $6.8m from incredible investors and are building a strong brand within our segment by being a Product and Engineering-driven company. We've laid the foundation by being a bit obsessive about our technology, and as we scale, we’re not willing to give that up.

Now, we’re looking to bring on a talented Data Analyst to bolster our technology team. As one of the primary contributors to our data model, you'll work directly with a Co-Founder and have a massive impact on how we use 45 TB+ of medical claims data to help our customers accelerate their medical technology sales motion.

Are we a fit for each other? At this stage, how you operate is more important than what you'll do day-to-day. As our 18th or 19th team member, we're looking for strong alignment to the following core values.

Effort on our inputs: We prepare diligently, leave it all on the "field", and move on quickly. Focusing on good habits and work ethic, not individual outcomes, ultimately creates a winning culture and a successful company.
Earn Trust: We keep our commitments to our customers, partners, and each other. We listen attentively, speak candidly, and treat others respectfully. We strive to demonstrate empathy, inclusion, and intellectual honesty.
Intelligence Drives Operations: We learn continuously and have the humility to quickly recognize when our assumptions are wrong so we can readjust accordingly.
Hire And Develop The Best: Good players like playing on good teams. We look to raise the bar with every hire and promotion. We work hard to identify and develop high potential.
Take Decisive Action: The only sure path to continuous improvement is a hypothesis-driven approach with a bias for speed of experimentation.

How will you help build MedScout?

Continuous improvement and agility. Use customer and internal team feedback to foster feedback loops to improve data accuracy, find improvements to our data models, and enable data-driven decisions across the organization. A customer might say something like, “this looks off”. You’ll help us decide if we should investigate, own the follow-up exploration(s), and help direct communications + action items.
Platform development collaboration. Partner with both technical and customer-facing teams to help define, build, and enrich our APIs and data infrastructure as we scope and roll out new features.
Uncover and explain trends and insights within our dataset. Work directly with our Founding Marketer and Sales team to help tell the MedScout story and present our view on the market through reports and editorial content.
Develop and improve documentation for internal teams and customers. Help document the nuances of our datasets to effectively answer internal and external questions as we scale.

How we'll evaluate you:

Quality of analysis and data model contribution
Attention to detail
Peer review feedback
Project/task communication and completion
Innovative thinking and problem-solving
The degree to which you’re a self-starter
Team collaboration and communication

Requirements

What does an ideal background look like?

2+ years in a Data Analyst role working with large, complex datasets
Familiarity with data analysis tools (e.g. SQL, Spark, R)
Proficiency in Python
Experience working with both relational and non-relational databases
Exceptional communication skills with a strong ability to work closely across teams
Experience owning complex analysis and distilling your findings into reports, visualizations, and presentations
Experience with agile methodologies

Bonus points:

Experience working in Databricks
Experience contributing to ETL and Data Pipeline work
Understanding of medical claims data and billing practices (coding, reimbursement, etc.)
Experience with web scraping/crawling

What is the interview process?

Introductory interview with Ronnie (Lead Data Engineer)
Interview with Co-Founders Casey Shattuck and Skylar Talley
We’d love to talk through some past examples of customer-facing analysis
Three reference calls with our CEO and your references
Group interview with members of the Customer Success and Platform Engineering teams
Offer components presented to you in writing (we can talk about ranges beforehand). We can review the offer structure and answer any questions or concerns you may have asynchronously or live, whichever you prefer

*For some candidates, we may request more information or take-home assignments to help us better gauge your abilities/past experience.

Benefits

What can you expect from us?

A competitive market salary
An attractive equity package; you'll truly feel like an owner of this company
Your voice will be heard; we value your ideas and will give you the chance to see them come to life
3x per year on-sites with the entire team
A generous budget for learning and development + any tools you need to be more effective
Comprehensive health and dental insurance

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