Cambridge, Massachusetts, United States of America
Full Time
2 hours ago
$121,000 - $162,000 USD
Visa Sponsor
Key skills
PythonSparkSQLMLAnalyticsSnowflakeDatabricks
About this role
Role Overview
Partner with business stakeholders in Commercial to understand objectives, pain points, and decision needs.
Translate business questions into clearly defined analytics use cases, success metrics, and measurable outcomes.
Lead requirements discovery, documentation, and validation, including functional, non‑functional, and data requirements.
Define data requirements, KPIs, metrics definitions, and calculation logic to ensure consistent and trusted insights.
Collaborate with technical teams to shape data models, curated datasets, and semantic layers aligned to business needs.
Review and validate analytics outputs (datasets, ML models) to ensure they meet business intent and quality expectations.
Act as a knowledgeable partner to engineering teams working on Databricks (Spark/SQL/Python).
Own the end‑to‑end analytics delivery lifecycle from a BA perspective: intake → requirements → refinement → validation → adoption.
Facilitate working sessions, backlog refinement, and prioritization discussions with cross‑functional teams.
Communicate complex analytical concepts and results in clear, business‑friendly language for non‑technical audiences.
Requirements
Bachelor's degree and 5+ years of experience in a related role.
Experience working in the Biopharma industry.
Strong experience working with enterprise data platforms (Databricks, Snowflake, or equivalent), with hands‑on exposure to SQL and analytics logic.
Proven ability to translate business needs into data and analytics requirements.
Exposure to advanced analytics or ML use cases.
Hands‑on experience querying or validating data using SQL and/or Databricks notebooks.
Strong understanding and experience working with specialty pharmacy data (i.e., dispense, status, etc.), syndicated data (i.e., Claims, Rx), Marketing/digital data sets and Master Data Management data sets.
Tech Stack
Python
Spark
SQL
Benefits
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short
and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year