M

MiniMed

Develops automated insulin delivery systems

Advanced Analytics Analyst - Multiple Teams

Business IntelligencePosted on Nov 13
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, data science, information systems, engineering, analytics, quality, or a related field is required.
  • At least 2 years of direct experience developing or maintaining business intelligence, reporting, or self-service analytics solutions is required.
  • Demonstrated experience developing and supporting Power BI workspaces and reports, including publishing and organizing solutions for business users, is required.
  • Strong experience with Databricks and SQL, including retrieving, preparing, and validating data for reporting, is required; the ability to use Python for data extraction, transformation, analysis, or automation is also required.
  • Demonstrated proficiency with Power BI data modeling and related languages, including DAX and Power Query, is required.
  • Experience building and deploying Databricks Genie is required.
  • Experience connecting reporting solutions to Databricks and, as needed, other enterprise data sources is required.
  • Experience automating reporting tasks and maintaining reliable refreshes, data-quality checks, and repeatable reporting processes is required.
  • The ability to understand user needs, define clear reporting requirements and data definitions, and deliver solutions users can navigate and interpret is required.
  • Experience working independently in cross-functional environments, managing competing priorities, and influencing stakeholders without direct authority is required.
  • Strong written and verbal communication skills, including the ability to explain data, reporting methods, and technical concepts clearly to business and functional audiences, are required.

Responsibilities

  • Partner with Quality stakeholders to identify reporting and data-access needs, clarify user questions, and define self-service solutions that improve visibility, reduce manual effort, and support better decisions.
  • Translate business needs into reporting requirements, data definitions, user stories, priorities, success measures, and delivery plans; drive work from discovery through release and ongoing support.
  • Develop, validate, and maintain Power BI workspaces, reports, dashboards, and data hubs, organizing content so users can find and confidently use the information they need.
  • Connect to Databricks and other appropriate data sources; use SQL and Python to retrieve, prepare, transform, and validate data for reporting.
  • Build and maintain Power BI semantic models, relationships, measures, and calculations using DAX and Power Query (M), applying sound data-modeling and visualization practices.
  • Automate reporting processes where practical, including data refresh and preparation, recurring report delivery, quality checks, monitoring, and repeatable deployment or maintenance tasks.
  • Work with Quality, Operations, IT, data engineering, and other partners to align source data, business definitions, access, requirements, implementation approach, and change readiness.
  • Establish appropriate checks and documentation to support data accuracy, reconciliation, access controls, performance, traceability, and auditability where applicable.
  • Monitor solution usage and performance, troubleshoot issues, incorporate user feedback, and continuously improve reports, workspaces, and data hubs.
  • Develop practical user guidance and training and help teams adopt self-service reporting tools and consistent ways of interpreting and using data.

Desired Qualifications

  • Experience in a medical device, life sciences, or other regulated industry environment.
  • Experience supporting a medical device Quality function or reporting on quality processes and performance.
  • Experience designing self-service reporting solutions, data hubs, or governed semantic models for a broad user base.
  • Experience improving reporting operations through automation, standardization, monitoring, or continuous improvement.
  • Familiarity with data governance, access management, data quality, traceability, audit readiness, and controlled records.
  • Experience with Power BI service capabilities such as workspace administration, deployment practices, refresh management, and usage monitoring.
  • Experience integrating multiple enterprise data sources or working with data engineering teams to improve data availability and reliability.

About the Company

MiniMed

Develops automated insulin delivery systems

MiniMed develops insulin delivery and automated insulin delivery systems, plus related sensors, pens, and software. Its products couple glucose sensors with pumps or smart pens to automatically adjust insulin or simplify dosing. It differentiates itself with an integrated ecosystem of devices and software and a large share of recurring revenue from sensors, consumables, software and services across more than 80 countries. Its goal is to be a leading global provider of insulin delivery and glucose monitoring solutions that help people with diabetes achieve better glycemic control.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Los Angeles, CA
Founded
1983

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