Meet the team

We are seeking a Principal Data Analytics Engineer to serve as a technical authority for advanced data analysis in support of engineering, manufacturing, and quality initiatives across high-volume medical device programs.

You will be part oftheGlobalEngineering teamwithin Operations,a team that leadsend‑to‑endtechnical oversight across external suppliers, contract manufacturers, and specialized automation partnersfor our wet chemistries, electronics, and hardware systemsYou will collaboratecloselyacross R&D, Quality, Regulatory, Supply Chain, and Manufacturing, gaining broad exposure across the full product lifecycle fromadvancetech developmentthroughcommercialization.

You will partner with programs and project teams to analyze complex data sets,designand interpret Designs of Experiments (DOEs), and drive statistically drivenconclusions that inform critical technical and business decisionsYour work will directly support engineers and project teams in the creation of robust protocols and final reports across the whole of the product lifecycle from advanced development, technology transfer, scaling, and on-market supportThis includes characterization studies, validations for products and equipment, and root cause investigations, enabling fast, defensible, data-driven paths forward in a highly regulated environment.

Where you come in

• You will support a range of programs from new product introductions and launches to scale up, on-market, andend of lifemanagementLeadingcollaborative efforts and directingdata collection and analysisactivities, ensuring seamless progression,timelyfeedback, and optimization, while fostering teamwork and accountability.

• You will partner with engineering, manufacturing, and quality teams as a principal-level analytics expert, analyzinglarge, complex data sets todriverobust and rapiddecision-making.

• You will design, execute, and interpret complex DOEs for product, process, and equipment studies.This includes performingadvanced statistical analyses supporting validation, capability, andreliabilityassessments.

• You will lead data-driven root cause investigations and translate findings into clear recommendations, ensuringanalyses meet GMP, ISO 13485, and FDA QSR expectations.

• You will play a lead role intechnology transfer programs spanning process design, validation, and analytical method transferindevice/diagnostic cGMP, FDA, and ISO environments.

• Youwillmentor engineersonstatistical thinking and experimentaldesign and execution.

What makes you successful

• You are a recognized subject matter expertinadvanced data analytics methodsfor complexsystemsand their application to high volume, highly regulated medical device/diagnostics manufacturing.

• You canleverageyour expertisein statistical methods,paired with practical engineering judgment,to enable clear and actionable path forward. You arecomfortablechallenging assumptions using data with a proven ability to influence decisions through evidence-based analysis.

• You are able to communicate complex analytical results clearly to technical, non-technical,and executive audiences.

• You have a track record ofcross-functional influence, from executive-levelcommunication to coaching engineers. You bring claritytoambiguity anddrivedecisions that integrate business strategy with technical depth.

• You stay abreast of advancing technologies and processes, and the competitive landscape, proactivelyseeking outopportunities for implementation.

• You will closely engage with cross-functional partners in manufacturing, R&D, supply chain, and quality assurance.

• You drive innovation in approach, processes, and methodologies while ensuring adherence to company, customer, and industry requirements and specifications. This includes offering recommendations for technology and process solutions to enhance performance and achieve both short-term and long-termobjectives.

• Youengage in anenvironment of personal and team accountability,in a waythat is conducivetothe development and growth of the team through mentoring and coaching.

Key Competencies:

• MS inStatistics, Engineering, Applied Mathematics, Data Science, or related field

• Proven industry experience applying advanced analytics in regulated manufacturing environments.Strong experience supporting high-volume medical device manufacturing.

• Six Sigma orDesign for Six Sigma Blackbeltfrom an accredited certificationbody (e.g., ASQ) ​

• Deepexpertisein medical device process validation, including IQ/OQ/PQ execution, process characterization,design of experiments (screening, modeling, optimization), statistical analysisandrisk managementwithin FDA-regulated manufacturing environment.

• Versed in a range ofstatisticalanalysisand modelingtools such ascontrol charts,capabilityanalysis, regression, ANOVA, and multivariate methods, measurement system analysis (MSA)response surface models, machine learning,etc. Proficiencywith Python, R, SQL, JMP, Minitab, or equivalent tools.

• Strong understandingrequirements trace,functional decomposition, andrisk management (SHA, DFMEA, PFMEA)

Whatyou’llget

• A front row seat tolife changingCGM technology. Learn about our brave #dexcomwarriors community

• Afull andcomprehensive benefitsprogram.

• Access tocareer development through in-house learning programs and/orqualifiedtuition reimbursement.

• Anexcitingandinnovative,industry-leading organizationcommitted to our employees,customers, and the communities we serve.

Travel Required:

• 25 to 50%

Experience and Education Requirements:

• Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 15+ years related experience or a Master’s degree and 10+ years equivalent industry experience or a PhD and 7+ years of experience.

FlexWorkplace:Your primary location will be a home office. You will not have an assigned workstation and will work with your manager todetermineoffice visit needs. You must live within commuting distance of your assigned Dexcom site (typically 75 miles/120km).