Technical Business Analyst
About The Position
About This Role: We are seeking a Technical Business Analyst, Data & Advanced Analytics to serve as a critical bridge between business stakeholders and technical delivery teams in a biopharma environment. This role focuses on translating complex business problems into well-defined analytical use cases, data requirements, and technical specifications, while maintaining a strong hands-on understanding of the Databricks Lakehouse and advanced analytics solutions. What You’ll Do: 1) Business Analysis & Problem Framing 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. 2) Analytics & Data Translation 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. 3) Databricks Platform & Technical Collaboration Act as a knowledgeable partner to engineering teams working on Databricks (Spark/SQL/Python), with the ability to: Read and validate SQL and logic used in transformations Understand data pipeline dependencies and data flows Participate meaningfully in design discussions and trade‑off decisions Support use cases involving advanced analytics such as decision engine, adoption journey, segmentation, or ML‑enabled insights, without being the primary model developer. 4) Delivery Ownership & Stakeholder Communication 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. Who You Are: You are a technically fluent Business Analyst who bridges business needs and analytics delivery. You translate complex problems into clear data and analytics requirements, partner closely with engineering and data science teams, and ensure insights are trusted, actionable, and decision‑ready in a regulated biopharma environment.
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.
Nice To Haves
- Experience with 360-degree data initiatives (e.g., HCP 360, Patient 360, Next Best Action, Patient Journey) that support advanced analytics.
- Experience working in Agile / SAFe delivery models.
Responsibilities
- Business Analysis & Problem Framing 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.
- Analytics & Data Translation 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.
- Databricks Platform & Technical Collaboration Act as a knowledgeable partner to engineering teams working on Databricks (Spark/SQL/Python)
- Read and validate SQL and logic used in transformations
- Understand data pipeline dependencies and data flows
- Participate meaningfully in design discussions and trade‑off decisions
- Support use cases involving advanced analytics such as decision engine, adoption journey, segmentation, or ML‑enabled insights, without being the primary model developer.
- Delivery Ownership & Stakeholder Communication 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.
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
- Employee Resource Groups participation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
