Collect, analyze, and interpret product-related data to support operational decisions
Design and maintain dashboards, reports, and KPIs to track product performance, user engagement, and other critical metrics
Identify inefficiencies in product development and operational workflows
Provide actionable insights and recommendations for improving processes and optimizing resource allocation
Work closely with Product Managers, Engineers, and other stakeholders to understand business needs and ensure data insights align with strategic objectives
Continuously monitor product health by analyzing user behavior, feature adoption, and feedback
Ensure the accuracy, consistency, and reliability of data used for product operations analysis
Conduct ad-hoc data analyses to answer specific business questions, support product decisions, or investigate operational challenges
Assist in the development of automation tools and processes that enhance data collection, reporting, and analysis efficiency
Perform all other duties and special projects as assigned

Bachelor’s degree in Data Science, Statistics, Business Analytics, Computer Science, Economics, or a related field
Proficiency in SQL for data extraction and manipulation
Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with Python, R, or other programming languages for data analysis is a plus
Experience with project management tools and methodologies (e.g., Jira, Asana) is beneficial
Proficient in various desktop tools including MS Office Programs (i.e. Outlook, Excel, Word, PowerPoint, Project, Visio, SharePoint etc.)
2-4 years of experience in a data analyst role, preferably in a product operations, business operations, or product management environment
Experience working with Agile development teams.
Familiarity with A/B testing, product experimentation, or user research methodologies.

Product Operations Analyst

Key skills