Product Analyst

EsriRedlands, California

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Job Description

Overview

Be a part of the Product Analytics team. We support business decisions by analyzing data to answer diverse questions related to product’s performance, usage and customer analytics, market sizing, segmentation, predictive model generation and more.

Responsibilities

Mine and analyze data related to product sales, usage, target market segments, and current customers to provide key insights and recommendations
Identify and validate accuracy of product's Key Performance Indicators; communicate valuable discoveries to stakeholders
Develop custom data models and algorithms to apply to data sets
Build forecast and predictive models to support product management decisions
Collaborate with different internal stakeholders to understand their data analysis requirements to provide appropriate solutions
Create reports and dashboards to share the results of your findings with Business Managers, Product Managers, Directors and other members of the Senior Leadership team.
Work with the Data Management teams and other BI teams to ensure their access to the data required for product analytics

Requirements

2+ years of work experience in a data analyst capacity supporting business teams
Strong analytical, modeling, and problem-solving skills
Ability to translate strategic questions into analytics requirements
Proficient in Microsoft Excel, PowerPoint, Power BI, and Tableau
Exceptional communication, presentation, and organizational skills; ability to adapt communication style and message based on audience (peers, stakeholders, executives)
Bachelor's in business, mathematics, or 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 in data analysis and predictive analytics supporting software products
Experience working with business intelligence and analytical reporting tools 
Familiarity with SQL, relational databases, and tabular data model 
Knowledge of Python and R preferred

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