Senior Specialist, Financial Data & Analytics

Merck

3d•Hybrid

About The Position

We are seeking a highly motivated and experienced Senior Specialist of Financial Data & Analytics to work on the development and delivery of advanced analytic solutions that support strategic decision‑making across the enterprise. This position will partner closely with divisional SMEs—including Human Health Finance, Manufacturing Division Finance, Research and Development Division Finance, Corp Finance, Tax and Treasury—to define solution requirements. The Senior Specialist will develop solutions based on designs provided by the larger project team. This role requires strong business acumen/knowledge, problem-solving skills and technical know-how. Also working effectively with business and technical team members will be critical.

Requirements

Bachelor’s degree in Finance, Data Science, Computer Science, Statistics, Engineering/Bioengineering, Economics, Mathematics or related field.
Minimum of 2+ years of working with business area data including data curation, modeling and visualization/story-telling.
Expertise in advanced data analysis, financial modeling, and modern BI/analytics tools (Power BI, SQL, cloud analytics platforms, etc.).
Agile Management
Agile Methodology
Business Administration
Business Decisions
Business Intelligence (BI)
Business Processes
Business Process Modeling
Computer Science
Data Management
Data Modeling
Data Visualization
Financial Forecasting
Life Science
Measurement Analysis
Predictive Analytics
Profitability Management
Scenario Analysis
Stakeholder Relationship Management
Waterfall Model

Nice To Haves

Experience in the pharmaceutical, biotech, or life sciences industry.
Knowledge of cloud data platforms (Redshift, Databricks) and enterprise data governance processes.
Knowledge of data transformation and orchestration techniques.

Responsibilities

Document business requirements for data ingestion and curation, business process assumptions/changes, KPI definitions and, finally, user interface requirements.
Support the delivery of end‑to‑end analytics solutions, including data modeling, semantic layer development, predictive analytics, dashboards, and self‑service capabilities.
Define master data and processes to maintain it.
Define security requirements.
Build forecasting models, scenario analyses, profitability analytics, and performance management frameworks.
Ensure analytical rigor, validation, and ongoing performance monitoring of models used across forecasting, commercial insights, and operational planning.
Drive standardization and reuse of analytical components across divisions.
Work within agile methodologies to drive transparency, responsiveness, and continuous improvement.
Ensure alignment with compliance, privacy, SOX, and governing financial controls.