Senior Data Analyst

The Role

What You'll Do

Apply statistical and machine learning techniques to healthcare claims and other structured data to build new metrics and methodologies — for example, calculating readmissions and average length of stay across varied claims sources, producing all-payer estimates, and developing clinical ontologies
Transform public financial data into clear signals and a coherent story about the financial health of healthcare organizations 
Build entity resolution and record-linkage models across health systems, provider organizations, employers, and payers
Develop affiliation and network mapping — inferring how organizations and people connect, and how influence and reporting structures flow across them
Infer organizational structure from qualitative signals, building org charts and decision-maker maps from titles, positions, and role characteristics
Design data-sourcing methodologies that evaluate, score, and combine heterogeneous inputs (public filings, web sources, licensed data) into accurate, defensible account signals
Build the models that power account targeting and segmentation — deciling, patient-volume and disease-state signals, strategic filters
Partner with Product, Data Engineering, Engineering, and QA to take solutions from prototype to production, then iterate and enhance

Requirements

5+ years of hands-on data science and statistics experience
5+ years working with healthcare data and the US healthcare system
Experience with healthcare claims data (medical and/or pharmacy) and the metrics derived from it
Experience with healthcare organizational data (HCO/HCP, IDN, GPO, payer)
Experience developing clinical ontologies or standardized healthcare data models
Experience with entity resolution, record linkage, or fuzzy matching on real-world, imperfect data
Track record of inferring structure from noisy, incomplete data -  cleansing, experiment design, solution assessment, and scaling
Comfortable with ambiguity and turning goals into tangible work plans
Able to explain statistical and technical concepts to audiences of varying technical depth

Nice to Have

M.S. in Statistics, Computer Science, Machine Learning, Mathematics, or another quantitative discipline

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

Follow the application process and submit your resume.

Within 3 days, you will receive a link to a personality assessment administered by a third party.

Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

If moving to the interview stage, the process is as follows:

1. A conversation with the hiring manager
2. A practical case exercise
3. A final conversation with our group's Senior Leader.

Once all interviews are complete, the manager will be in touch with a final decision.

Perks & Benefits

Medical, dental, vision, and basic life insurance
Flexible PTO and company paid holidays
Retirement programs
1% charitable giving program

Compensation

Base pay: $95,000 - $175,000
The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

Employment type

Full-Time