A data analyst role within the Product Analytics team, responsible for analyzing product data, creating reports and dashboards, developing predictive models, and providing insights to support business and product decisions.
Key Responsibilities
Analyze data related to product sales, usage, market segments, and customers to generate insights and recommendations
Design, develop, and optimize Power BI reports and dashboards for effective data visualization
Validate the accuracy of product Key Performance Indicators (KPIs) and communicate findings to stakeholders
Develop custom data models, algorithms, and predictive models to support product management decisions
Collaborate with internal teams to understand data analysis requirements and deliver appropriate solutions
Create reports and dashboards to present analysis results to business leaders and senior management
Requirements
At least 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
Proficiency in Microsoft Excel, PowerPoint, Power BI, and Tableau
Exceptional communication, presentation, and organizational skills with the ability to adapt communication style and message based on audience peers, stakeholders, and executives
Bachelor's degree in business, mathematics, or a related field
Ability to support the development and deployment of Power BI reports and dashboards that effectively convey insights and drive decision making
Ability to identify and validate the accuracy of product’s Key Performance Indicators
Ability to develop custom data models and algorithms to apply to data sets
Ability to build forecast and predictive models to support product management decisions
Experience working with 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 models
Proficiency in Power BI, DAX, Power Query, and SQL (recommended qualification)
Benefits & Perks
Industry-leading health and welfare benefits including medical, dental, and vision insurance
Basic and supplemental life insurance for employees and their families
401(k) and profit-sharing programs
Minimum of 80 hours of vacation leave
Twelve paid holidays throughout the calendar year
Opportunities for personal and professional growth