Senior Analytics Engineer

GSK•Philadelphia, PA

22h•Hybrid

About The Position

We are part of Legal and Compliance, focused on Transfer of Value reporting and State Law Compliance. We use automation and analytics to move fast, solve problems creatively, and own our solutions end-to-end. This is a true hybrid role. You'll spend roughly half your time as an analyst — partnering with business leaders, framing questions, deriving insights — and half as a developer, building and maintaining the C#, SQL Server, and Power BI assets that make those insights repeatable. We're not looking for someone strong in one and curious about the other. We need both. This is a senior individual contributor role. You won't have direct reports, but you'll set technical direction, lead delivery on larger initiatives, and work across the organization to drive results.

Requirements

Bachelor's degree in Computer Science, Mathematics, Economics, Engineering, or a related quantitative field
4+ years applying analytics, business intelligence, or statistics in a compliance, sales operations, or regulated-industry context
3+ years building applications in C#
3+ years working with SQL Server (or comparable relational databases), including writing performant queries against large datasets
2+ years building dashboards in Power BI or Tableau
Authorized to work in the US without sponsorship
Within commuting distance of Durham, NC or Philadelphia, PA (2–3 days onsite per week)

Nice To Haves

Experience in pharmaceutical, life sciences, or other regulated industries
Familiarity with ETL tooling, API integrations, and data warehouse concepts
Experience applying AI/LLM tools or RPA platforms to analytics workflows
Critical-thinking habit — comfortable challenging conventional wisdom constructively
Experience collaborating with other developers, designers, and architects
Demonstrated ability to work autonomously, set technical direction, and deliver with minimal supervision

Responsibilities

Build and maintain the data foundation: Own and evolve our SQL Server environment, with schema and asset changes scripted, version-controlled, and archived
Build automated pipelines that extract, transform, and load data from internal and external sources
Drive data quality initiatives so analyses can be trusted and re-run
Build the tools that scale the work: Translate business requirements into functional applications using C#, Python, and Power BI
Design and maintain reusable, reliable C# code within our existing framework
Identify performance bottlenecks and devise solutions
Apply automation, AI, and RPA approaches wherever they reduce manual effort
Conduct analyses that drive action: Partner with compliance and business leaders to frame monitoring questions, build reporting frameworks, and surface insights
Translate ambiguous business problems into concrete analytic approaches and deliverables
Mentor peers on analytic methods and best practices