Note: The job is a remote job and is open to candidates in USA. Amgen is a biotechnology company focused on researching, manufacturing, and delivering innovative medicines for patients with serious illnesses. The Data Analytics Manager leads financial and workforce resource planning, develops advanced analytics and business cases, creates executive-ready dashboards, and delivers strategic insights to support enterprise decision-making and operational transformation.
Responsibilities
- Lead financial and resource planning by applying P&L, cash flow, and scenario/what-if modeling to drive critical business decisions, transformation initiatives, and opportunity identification
- Collaborate with senior leadership and cross-functional partners to support workforce transformation and ensure alignment of business priorities
- Develop business cases, perform advanced big data troubleshooting and cleanup, reconcile data discrepancies, and apply technologies including SQL, Python, Databricks, and Alteryx to ensure accuracy and reliability
- Create executive-ready reports, presentations, and dashboards using Power BI, Tableau, and other BI tools to inform senior leadership decision-making
- Apply structured analytical frameworks including: Lean, Six Sigma, and Agile to identify bottlenecks, prioritize opportunities, and deliver insights that accelerate work and streamline operations
- Design, implement, and validate automated analytics workflows, reporting processes, and models including VBA and Databricks to increase scalability, efficiency, and consistency
- Generate actionable financial and workforce insights across multiple dimensions, translate analyses into strategic recommendations, and partner across the enterprise to guide datainformed decision-making
Skills
- Master's degree (or foreign equivalent) in Business Administration, Business Analytics, Finance, or related field & 2 years of experience in the job offered or in a marketing or brand-related occupation
- Position requires 2 years of experience in the following:
- P&L analysis, cash flow modeling, driver-based forecasting, scenario or what-if modeling, and workforce and resource planning
- Excel, MS Office Suite, Power BI, Tableau, Prophix, Databricks, Python, SQL, and automation tools including VBA
- Ingesting and joining multi-source data, leveraging big data tools including Alteryx or Databricks, performing data mining and anomaly detection, reconciling variances, and generating insights
- Automating analytics workflows, models, and reporting processes to improve scalability, efficiency, and reliability in partnership with business and technology teams
- Generating actionable data insights, conducting workforce analytics, building business cases, and translating analyses into strategic recommendations for stakeholders and senior leadership
- Developing executive-ready dashboards, KPI scorecards, and drill-downs in BI tools to support leadership decision-making; and 7. Applying and tailoring analytical frameworks to diagnose issues, prioritize initiatives, and drive data-informed decision-making with measurable outcomes
Benefits
- Stock
- Retirement
- Medical, life and disability insurance
- Eligibility for an annual bonus
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
- A discretionary annual bonus program
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models, including remote and hybrid work arrangements, where possible
- Health and welfare plans for staff and eligible dependents
- Financial plans with opportunities to save towards retirement or other goals
- Work/life balance
- Career development opportunities
Company Overview
Company H1B Sponsorship