Product Analyst

Overview

Come join our Product Analytics team at Esri! The Product Analyst focuses on advanced analytics and data‑driven insight generation to influence product and business decision making. This role plays a key part in supporting and shaping the analytical data models used by Product Analysts and Data Scientists, ensuring data is structured, reliable, and fit for deep analytical and modeling work.

In this role you will initially support both analytical investigations and the analytical data model needs of the Product Analytics team. Over time, the role is expected to take on increased responsibility for designing and building scalable, reusable analytical data assets that enable consistent, high‑quality analysis across Product Analysts and Data Scientists.

You will serve as a critical bridge between business context, advanced analytics, and analytics engineering, translating ambiguous product and business questions into robust analytical approaches and the underlying data structures needed to support them.

Responsibilities

• Design, build, and maintain analytics‑focused data models that support the needs of Product Analysts and Data Scientists for advanced analysis and modeling
• Partner closely with Product Analysts and Data Scientists to translate analytical requirements into well‑structured datasets and metrics
• Contribute to the maturation of analytics engineering practices within Product Analytics, including scalable dataset design, metric logic, and operational support for analytical data assets
• Apply advanced analytics and predictive modeling to product sales, usage, and customer data to inform strategy, pricing, and growth
• Create executive ready reports, and deep analyses that clearly communicate analytical insights, limitations, and recommendations to stakeholders across technical and non‑technical audiences
• Collaborate with other internal stakeholders – Business Managers, Product Managers, and other internal stakeholders to translate ambiguous business questions into structured analytical approaches
• Partner with technical leads and cross-functional data teams to support the evolution of Product Analytics data capabilities within Microsoft Fabric and related platforms

Requirements

• 2+ years of experience in product analytics, advanced data analysis, or business analytics roles, with a strong foundation in analytical reasoning, statistics, and data modeling
• Demonstrated experience building and supporting curated analytical datasets and data models used by analysts or data scientists for downstream analysis
• Proven ability to translate strategic and ambiguous questions into analytical frameworks and model requirements
• Experience working with large, multi‑source product usage or telemetry‑style data; ensuring reliability of analytical datasets, including data validation, QA and reconciliation
• Strong SQL scripting for data extraction, transformation, validation, and analytics-ready dataset creation
• Solid knowledge of Python or similar analytical programming languages for modeling and analysis
• Familiarity with analytics enablement concepts, including semantic models, reusable metric logic, self‑service dataset support, and scheduled data workflows or pipeline operationalization
• Advanced Proficiency in Power BI (including analytical datasets and complex measures) and Microsoft Excel
• Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
• Bachelor’s degree in business analytics, statistics, mathematics, economics, computer science, or a related field
• Visa sponsorship is not available for this posting. Applicants must be authorized to work for any employer in the U.S.

Recommended Qualifications

• Prior experience supporting analytics and predictive modeling for software products
• Hands‑on experience building predictive, forecasting, or scenario‑based models
• Experience collaborating with Data Analysts and Data Scientists on analytical dataset or feature requirements
• Prior experience working in Microsoft Fabric environment

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