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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluating and managing healthcare datasets, with strong analytical reasoning and problem-solving skills. Proficient in SQL and familiar with data visualization tools to support data-driven decision-making in the pharmaceutical and healthcare sectors.
Highest-signal resume keywords
SQL Data ExtractionData Visualization ToolsHealthcare AnalyticsAnalytical ReasoningLife Sciences Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ProfilingRisk AssessmentData Quality ConceptsData ManagementData Analysis
Soft Skills
Collaborative WorkProblem-Solving
Tools & Technologies
Power BITableauAmazon QuickSight
Industry Keywords
Pharmaceutical IndustryLife SciencesHealthcare DatasetsMarket ResearchCommercial Analytics
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Support the evaluation, acquisition, and ongoing management of a broad range of U.S. healthcare datasets
- Collaborate closely with U.S. stakeholders to understand business needs and clarify use cases
- Evaluate new and existing datasets and vendors based on business relevance and quality
- Partner with external data vendors to understand source methodologies and resolve data-related queries
- Apply structured thinking to perform data profiling and risk assessment
- Develop and maintain comprehensive documentation to support decision-making around data investments
Requirements
What you’ll need- Bachelor’s or Master’s degree in Life Sciences, Pharmacy, Healthcare, Business Analytics, Data Analytics, or a related discipline
- 2–4 years of relevant experience in pharma, healthcare analytics, life sciences consulting, market research, or commercial analytics
- Strong foundation in biology, life sciences, and the pharmaceutical industry
- Strong analytical reasoning and problem-solving skills
- Must be comfortable working collaboratively across time zones with U.S.-based teams and external vendors
- Familiarity with SQL for basic data extraction, validation, and investigation
- Exposure to data visualization and reporting tools such as Power BI, Tableau, Amazon QuickSight, or similar platforms
- Basic understanding of data quality concepts
Benefits
Comp & perks- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
