Senior Commercial Data Analyst

Responsibilities:

●      Leverage a broad range of analytics methods — from descriptive to prescriptive — to transform large, complex sales datasets into actionable insights and scalable analytics solutions.

●      Collaborate directly with business partners to define requirements, scope projects, design studies, manage timelines, and deliver high-quality results while maintaining strong, professional relationships.

●      Apply curiosity and data exploration to identify key business drivers and recommend data-driven actions that help the sales team achieve organizational objectives.

●      Partner with cross-functional teams to uncover operational barriers, analyze root causes, and drive resolution through data-backed solutions.

●      Develop reusable implementations of statistical tests, predictive models, and machine learning solutions using the technologies within the commercial data ecosystem.

Qualifications:

●      Proficiency in business intelligence and visualization tools, including Tableau and Salesforce CRM Analytics (formerly Einstein Analytics).

●      Strong SQL skills for data extraction, transformation, and analysis across large, complex datasets.

●      Experience with programming languages such as Python (preferred) or R for advanced analytics, automation, and predictive modeling.

●      Experience with Salesforce ecosystem tools, including Salesforce Data Cloud, for enhanced customer insights, segmentation, and data integration.

●      Understanding of predictive analytics, supervised/unsupervised machine learning techniques, and application of statistical modeling to business challenges.

●      Knowledge of data architecture and data engineering principles related to analytics workflows (e.g., ETL processes, API integrations, and database querying).

●      Experience with cloud data platforms (e.g., Snowflake, AWS, Google BigQuery, or Azure) is a plus.

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Equal Employment Opportunity: 

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Applications will be accepted on an ongoing basis until the position is filled.

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