Business Intelligence Analyst (L2) Pilot Operations/Pre-Commercial

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). With a vision to empower people to take control of their health, Dexcom is broadening its impact beyond diabetes to address important health challenges through personalized, actionable insights. The company is driven by passionate individuals committed to improving human health on a global scale.

About the role

The Business Intelligence Analyst II supports Manufacturing Operations by delivering accurate, timely, and standardized analytics that enable data-driven decision-making across safety, quality, delivery, and cost. This role focuses on applying foundational BI competencies to develop dashboards, reports, and ad hoc analyses using established tools, data models, and governance standards. Working under the guidance of Senior and Staff BI analysts, this position partners closely with manufacturing, engineering, quality, and operations teams to translate business questions into clear reporting and insights while developing deeper technical and analytical skills.

Additionally, this role is expected to lead complex analytics and reporting efforts, oversee junior BI members, and support operational efficiencies and strategic planning through standardized, automated reporting.

Responsibilities

• Business Intelligence Development & Reporting
  • Develop and maintain basic to moderately complex dashboards and reports using approved BI tools (e.g., Tableau, Looker, Power BI) following enterprise BI standards and templates.
  • Modify and enhance existing dashboards based on well-defined business requirements and feedback from stakeholders.
  • Validate reported metrics to ensure accuracy, consistency, and alignment with manufacturing definitions and operational KPIs.
  • Perform initial troubleshooting of dashboard or data issues and escalate complex problems appropriately.
• Data & SQL Development
  • Write basic to intermediate SQL queries (joins, filters, aggregations) to support reporting and analysis needs.
  • Compare query outputs to source system data to confirm correctness and completeness.
  • Contribute to documentation of data sources, data definitions, and reporting logic used in manufacturing analytics.
• Analytics & Statistical Fundamentals
  • Apply descriptive statistics to summarize performance trends, variations, and operational patterns within manufacturing processes.
  • Create basic comparisons, trend analyses, and SPC-style visualizations with guidance from senior team members.
  • Clearly articulate analytical findings and limitations to non-technical stakeholders.
• Manufacturing & Cross-Functional Collaboration
  • Partner with manufacturing, process engineering, quality, and operations teams to understand reporting needs and operational context.
  • Support analytics initiatives tied to safety, quality, delivery, yield, and cost performance in operations.
  • Document requirements, assumptions, and data logic to enable repeatability and operational consistency.
• Continuous Learning & BI Maturity
  • Build proficiency in BI tools, SQL, and cloud data platforms used within Manufacturing Operations.
  • Learn and apply BI governance, data quality standards, and performance best practices.
  • Incorporate feedback and coaching from senior analysts to improve technical quality and delivery effectiveness.

Requirements

• Bachelor’s degree in Analytics, Computer Science, Engineering, Business, or a related technical field or equivalent practical experience.
• 1–3 years of experience in business intelligence, reporting, data analytics, or a related role.
• Demonstrated ability to build reports or dashboards using BI tools such as Tableau, Looker, or Power BI.
• Working knowledge of SQL, including joins and aggregations.
• Strong attention to detail with a commitment to data accuracy and quality.
• Effective written and verbal communication skills for cross-functional environments.

Qualifications

• Experience supporting manufacturing, operations, supply chain, or quality analytics.
• Exposure to cloud data platforms (e.g., BigQuery).
• Familiarity with Agile or ticket-based workflows (e.g., Jira).
• Beginner-level BI certification (Tableau or equivalent).
• AI/ML experience.
• Python programming experience.
• Master’s degree in Biomedical Data Analytics.

Benefits

• A front row seat to life-changing CGM technology and the #dexcomwarriors community.
• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Access to career development through in-house learning programs and/or qualified tuition reimbursement.
• An exciting and innovative, industry-leading organization committed to employees, customers, and communities.

Pay

$71,600.00 - $119,300.00

Schedule

Travel required: 0-5%

Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 2-5 years related experience or Master’s degree and 0-2 years’ equivalent experience.