Dexcom Analytics Engineer Job 2026 – Data Analytics and AI
Dexcom Corporation is a global medical technology company known for its continuous glucose monitoring (CGM) technology. The company is looking for an Analytics Engineer to support its Research and Development (R&D) Engineering organization. This opportunity focuses on engineering data integration, analytics, business intelligence, automation, and AI solutions. Candidates with a technical degree and relevant experience in data analytics, data science, or engineering-focused data roles can review the requirements.
This role offers an opportunity to work with multidisciplinary engineering teams and transform complex technical data into reliable insights. The selected candidate will contribute to data pipelines, SQL and NoSQL solutions, Power BI or Tableau dashboards, statistical analysis, and AI implementation. The work supports engineering efficiency, product development, data quality, and innovation in a regulated medical device environment.
Quick Job Snapshot
| Company | Dexcom Corporation |
| Job Role | Analytics Engineer |
| Department | R&D Engineering |
| Qualification | Bachelor’s degree in a technical discipline; alternative Master’s or PhD pathways are listed |
| Experience | Bachelor’s: 3–5 years; Master’s: 2 years equivalent industry experience; PhD: 0–2 years |
| Eligible Batch | 2024, 2025, 2026 as a general recent-batch reference; the stated experience and degree requirements apply |
| Salary | Not disclosed |
| Job Type | Not specified in the supplied description |
| Work Mode | Not specified |
| Location | Not stated in the supplied job description; verify on the official listing |
| Job ID | JR118644 |
| Travel Requirement | 0–5% |
Job Overview
The Analytics Engineer will standardize, integrate, and automate engineering data practices across mechanical, electrical, hardware, and firmware engineering teams. The role involves combining structured and unstructured data from multiple systems, creating scalable data models, building business intelligence dashboards, and developing analytics that support technical and leadership decisions throughout the product development lifecycle.
In addition to data engineering and reporting, the role supports the evaluation, pilot, and implementation of AI solutions. The engineer will work closely with engineering, IT, and business stakeholders to improve data governance, data integrity, process efficiency, and the use of engineering data in product development and validation.
Key Responsibilities
- Standardize and automate engineering data pipelines across mechanical, electrical, hardware, and firmware domains.
- Design, model, and integrate structured and unstructured data from multiple engineering and enterprise systems.
- Build and maintain business intelligence dashboards and analytics using tools such as Power BI and Tableau.
- Translate complex technical information into clear visualizations, actionable insights, and executive-level reports.
- Collaborate with engineering and IT stakeholders to establish data governance, data quality standards, and scalable data management practices.
- Write and maintain SQL queries, data transformations, and automations using relevant programming languages.
- Support data modeling and storage solutions involving MongoDB and relational databases.
- Evaluate, pilot, and implement AI solutions, including custom models and third-party platforms, to improve engineering productivity and insights.
- Analyze engineering test and validation data using statistical methods to identify trends, variability, and performance drivers.
- Develop statistical models and summaries to support engineering decisions, trade studies, and design verification activities.
- Work across teams to identify opportunities for analytics and AI to improve engineering processes, quality, and decision-making.
- Support process standardization, automation, and the reduction of manual data management tasks.
Required Skills and Eligibility
- Education and experience: Typically, a Bachelor’s degree in a technical discipline with 3–5 years of related experience, a Master’s degree with 2 years of equivalent industry experience, or a PhD with 0–2 years of experience.
- Data analytics: Proven experience in a data analyst or data scientist role supporting engineering, R&D, or technical organizations.
- SQL and data modeling: Proficiency in data querying, modeling, and transformation using SQL.
- NoSQL databases: Knowledge of technologies such as MongoDB is desirable.
- Business intelligence: Strong experience creating dashboards and analytics in Power BI and/or Tableau.
- Programming: Ability to write code for data integration, automation, and analytics workflows.
- Engineering data: Understanding of data types and workflows across mechanical, electrical, hardware, and firmware development.
- AI and machine learning: Experience deploying or supporting AI and machine learning solutions, including integrating third-party AI tools.
- Statistical analysis: Ability to interpret engineering test and validation data and identify trends, variability, and performance drivers.
- Data quality: Interest and ability in standardizing processes, maintaining data integrity, and reducing manual effort.
- Communication: Ability to work effectively with engineers, data users, business stakeholders, and leadership.
- Organization: Attention to detail and the ability to manage multiple data initiatives in a fast-paced, regulated environment.
Preferred Skills and Additional Experience
- Experience with Onshape is an advantage, particularly when transitioning from traditional CAD tools.
- Exposure to CAD data migration or platform adoption projects is beneficial.
- Experience working with engineering data across multiple technical disciplines.
- Familiarity with both structured and unstructured data integration.
- Experience evaluating AI platforms and applying AI to improve engineering workflows.
- Strong interest in automation, process improvement, data governance, and scalable analytics solutions.
Technology and Tools
- Data querying and transformation: SQL and related programming languages.
- Business intelligence: Power BI and Tableau.
- Databases: Relational databases and MongoDB.
- AI and machine learning: Custom AI models and third-party AI platforms.
- Engineering systems: Data associated with mechanical, electrical, hardware, and firmware development.
- CAD-related tools: Onshape is a plus.
- Analytics methods: Statistical analysis, engineering test data evaluation, modeling, and reporting.
Salary Insights
Dexcom has not disclosed the salary for this position in the supplied job description. Compensation may vary according to the job’s country and location, the candidate’s qualifications, relevant experience, and the company’s pay structure. Because the work location and official salary range are not stated in the supplied details, a reliable location-specific salary estimate cannot be provided. Candidates should confirm the salary, bonus eligibility, benefits, and other compensation terms through the official recruitment process.
Benefits and Career Growth
Dexcom highlights a comprehensive benefits program, global career growth opportunities, and access to internal learning programs or eligible tuition reimbursement. The company also emphasizes innovation in medical technology and improving health outcomes through CGM solutions. For an analytics professional, the role offers exposure to R&D data, engineering analytics, AI implementation, statistical analysis, and data governance in a regulated product environment.
Recommended Learning Resources
- SQL Course and Notes – Revise SQL queries, joins, data manipulation, and database fundamentals.
- Data Science Complete Course – Review data analysis, statistical thinking, and machine learning fundamentals.
- Python Course and Notes – Strengthen Python skills for data processing and automation.
Interview Preparation
- Data Analyst Roadmap for Beginners – Review core analytics skills and plan your preparation.
How to Apply for Dexcom
- Open the official Dexcom careers listing using the application link below.
- Verify the position details and job ID JR118644.
- Review the education and experience pathways to determine which one matches your qualifications.
- Prepare an updated resume highlighting data analytics or data science experience, SQL, Power BI or Tableau, programming, and relevant engineering or R&D projects.
- Include examples of data integration, dashboard development, statistical analysis, automation, or AI implementation where applicable.
- Complete the application through Dexcom’s official careers portal and provide the requested information.
- Monitor your email and application account for recruitment updates or interview instructions.
Important: The provided link is a Dexcom careers URL. Confirm the active listing, work location, job requirements, and application status before submitting your application. The supplied job description does not specify an application deadline.
Related Job Opportunities
Frequently Asked Questions
1. What qualifications are required for the Dexcom Analytics Engineer job?
Dexcom typically requires a Bachelor’s degree in a technical discipline and 3–5 years of related experience. Alternative pathways listed are a Master’s degree with 2 years of equivalent industry experience or a PhD with 0–2 years of experience.
2. What is the salary for the Dexcom Analytics Engineer position?
The salary is not disclosed in the supplied description. Candidates should check the official listing or confirm the compensation range with Dexcom’s recruitment team.
3. Where is the Dexcom Analytics Engineer job located, and how much travel is required?
The location and work mode are not specified in the supplied description. The stated travel requirement is 0–5%. Check the official careers listing for the exact work location and arrangement.
Interested in engineering analytics and AI? Build strong skills in SQL, data modeling, Power BI or Tableau, programming, and statistical analysis. Prepare examples that demonstrate how you have improved data quality, automated workflows, or used analytics to support technical decisions, then review the official Dexcom listing and apply if you meet the requirements.
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