Sr. Advanced Analytics Analyst

MiniMed•Northridge, MN

About The Position

The Senior Advanced Analytics Analyst is an integral member of MiniMed’s Finance organization. The role designs and delivers sophisticated financial analytics, forecasting models, and performance reporting frameworks that enable data-driven decision-making across the company. It combines financial expertise with advanced analytical capabilities to support FP&A cycles, business case development, CapEx program analytics, and strategic planning initiatives. As MiniMed establishes itself as an independent MedTech leader, the role helps build Finance analytics capabilities that support growth, operational efficiency, and investor value creation. The analyst develops, inspects, mines, transforms, and models data to improve productivity and decision-making; performs statistical analysis to support predictive forecasting or classification; manages end-to-end data processing using customized system reporting functions; maintains analytical systems, verifies data accuracy, and serves as a liaison to the business. Responsibilities may include these duties and others that may be assigned.

Requirements

  • Bachelor’s degree and at least 4 years of technical analytics experience, or an advanced degree and at least 2 years of technical analytics experience.
  • Advanced proficiency in Power BI, Databricks, and Excel.
  • Excellent analytical, problem-solving, and creative-thinking skills.
  • Strong collaboration and communication skills for cross-functional teamwork, including serving as a primary contact for specific projects and initiatives.
  • Ability to independently manage multiple projects and deadlines.

Nice To Haves

  • Demonstrated mastery of advanced analytics, with full knowledge of industry practices.
  • Experience working with customer-centric data and performing advanced analytics, including forecasting, predictive modeling, and reporting.
  • Familiarity with healthcare or regulated-industry data standards.
  • Programming skills in Python or R.
  • Power BI dashboard experience.
  • Success collaborating cross-functionally and navigating technical discussions, including ETL and data integration, with IT and data engineering teams.

Responsibilities

  • Develop, inspect, mine, transform, and model data to raise productivity, improve decision-making, and gain competitive advantage.
  • Conduct statistical analysis to ensure correct predictive forecasting or classification.
  • Manage all aspects of end-to-end data processing using customized report-building functions of systems.
  • Maintain analytical systems, verify data accuracy, and act as a liaison to the business.
  • Support FP&A cycles, business case development, CapEx program analytics, and strategic planning initiatives.

Benefits

  • Competitive salary and flexible benefits package.
  • Health, dental, and vision insurance.
  • Health Savings Account and Healthcare Flexible Spending Account.
  • Life insurance and long-term disability leave.
  • Dependent daycare spending account.
  • Incentive plans, including a short-term incentive.
  • 401(k) plan with company match.
  • Short-term disability coverage.
  • Paid time off and holidays.
  • Employee Stock Purchase Plan.
  • Employee Assistance Program.
  • Eligible employees may receive a Non-qualified Retirement Plan Supplement and Capital Accumulation Plan, subject to IRS minimum earnings requirements.
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