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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling, machine learning, and data analysis using Python and SQL, while effectively communicating analytical findings to support commercial decision-making in the healthcare sector.
Highest-signal resume keywords
Python ProgrammingSQL Query DevelopmentStatistical ModelingData Visualization with TableauCloud Analytics Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingMachine Learning TechniquesData PreparationFeature EngineeringModel EvaluationData AnalysisExploratory Data AnalysisData CleaningAnalytical Solutions DevelopmentData Governance
Soft Skills
Attention to DetailCuriosityEffective CollaborationCommunication Skills
Tools & Technologies
TableauSpotfireDatabricksAzureAWS
Industry Keywords
Pharmaceutical AnalyticsBiotechnologyHealthcare AnalyticsCommercial Decision-MakingData Quality
Tech Stack
Tools & technologiesAWSAzureCloudPythonSQLTableau
About the role
Key responsibilities & impact- Support the development, maintenance, and enhancement of analytical solutions for commercial decision-making
- Apply statistical and machine-learning techniques to structured commercial and healthcare datasets
- Conduct exploratory data analysis, data preparation, feature engineering, and model evaluation
- Interpret analytical results in the context of business objectives, data quality, and methodological limitations
- Contribute to documentation and quality review of analytical methods and outputs
- Write and maintain SQL queries to extract, transform, and analyze enterprise data
- Use Python and/or R to clean data, conduct analyses, and support analytical models
- Work within cloud-based analytics environments and curated enterprise data assets
- Support repeatable workflows, code documentation, quality control, and model deployment
- Develop dashboards, reports, and visualizations using Tableau or Spotfire
- Troubleshoot data and analytical issues with senior team members and technology partners
- Translate business questions into defined analytical tasks
- Prepare summaries of analytical findings for technical and non-technical audiences
- Support commercial reviews, planning activities, and ad hoc analyses
- Collaborate with forecasting, insights, data strategy, and technology partners
- Build knowledge of the obesity market, Amgen’s commercial business, and healthcare environment
- Manage assigned analytical tasks and timelines
- Follow data governance, compliance, privacy, and documentation standards
Requirements
What you’ll need- Bachelor’s degree OR Associate’s degree and 4 years of relevant experience OR High school diploma/GED and 6 years of relevant experience
- Working proficiency in Python and/or R
- Experience using SQL and relational databases
- Experience with Tableau, Spotfire, or a similar data visualization tool
- Familiarity with cloud analytics platforms such as Databricks, Azure, or AWS
- Foundational understanding of statistical modeling and machine-learning concepts
- Experience preparing, cleaning, and analyzing large or complex datasets
- Ability to summarize analytical findings clearly and connect them to business questions
- Experience in pharmaceutical, biotechnology, healthcare, or commercial analytics is preferred
- Strong attention to detail, curiosity, and willingness to learn
- Effective collaboration and communication skills in a matrixed organization
- This role requires three days a week on-site
- Sponsorship for this role is not guaranteed
Benefits
Comp & perks- A comprehensive employee benefits package
- Retirement and Savings Plan with generous company contributions
- Group medical, dental and vision coverage
- Life and disability insurance
- Flexible spending accounts
- Discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible
- Career development opportunities
- Work/life balance