Jobs · Analyst · California

Data Analytics Mgr

BioSpace · Thousand Oaks, CA · 1 wk ago
Analyst$119k/yrFull-time

About the role

At Amgen, our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the toughest diseases. With a focus on four therapeutic areas—Oncology, Inflammation, General Medicine, and Rare Disease—we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller, happier lives.

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 data-informed decision-making.
  • May telecommute.

Requirements

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.
  • Applying and tailoring analytical frameworks to diagnose issues, prioritize initiatives, and drive data-informed decision-making with measurable outcomes.

Pay

The annual salary range for this position in the U.S. is $118,696.00 – $145,477.00 per year.

Benefits

  • Stock, retirement, medical, life, and disability insurance.
  • Eligibility for an annual bonus or, for sales roles, other incentive compensation.
  • Comprehensive employee benefits package, including:
    • A 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 (or sales-based incentive plan for field sales representatives).
  • Stock-based long-term incentives.
  • Award-winning time-off plans.
  • Flexible work models, including remote and hybrid work arrangements, where possible.

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