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.

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
• Possibly collaborate 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
• 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)

Qualifications

• 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.

Total Rewards

Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the base salary range is: $70,304 USD - $110,240 USD

The Company

At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology.

Esri Privacy

Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.