Remote Senior Analytics Analyst – FP&A & Forecasting

MiniMed Group; Minnesota; Remote; USD 87,000 - 149,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Stock Purchase Plan

Paid time off

Job summary

MiniMed is seeking a Senior Advanced Analytics Analyst to lead the design and delivery of sophisticated financial analytics, forecasting models, and performance reporting frameworks that enable data-driven decision-making across the organization. The role combines financial expertise with advanced analytics to support FP&A cycles, business case development, and CapEx analytics.

The ideal candidate will have strong skills in Power BI, Databricks, Python, and R, with experience in healthcare data

Qualifications

• Bachelor’s degree and 4+ years of technical analytics experience
• Advanced Degree and 2+ years of technical analytics experience
• Demonstrated mastery of advanced analytics with forecasting, predictive modeling and reporting

Responsibilities

• Designs and delivers sophisticated financial analytics and forecasting models
• Develops performance reporting frameworks to enable data-driven decision-making
• Manages end-to-end data processing and maintains analytical systems
• Collaborates with IT and data engineering on ETL and data integration
• Supports FP&A cycles, business case development, CapEx analytics and strategic planning initiatives
• Losters liaise with business to ensure data accuracy

Skills

Power BI

Databricks

Excel

Python

R

Forecasting

Predictive modeling

Data analysis

ETL

Cross-functional collaboration

Education

Bachelor’s degree

Advanced degree

Tools

Power BI

ETL tooling

Job description

MiniMed is seeking a Senior Advanced Analytics Analyst to lead the design and delivery of sophisticated financial analytics, forecasting models, and performance reporting frameworks that enable data-driven decision-making across the organization. The role combines financial expertise with advanced analytics to support FP&A cycles, business case development, and CapEx analytics.

The ideal candidate will have strong skills in Power BI, Databricks, Python, and R, with experience in healthcare data