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About the role
The Product Analyst will collect and interpret user data to improve product performance and user experience. They will collaborate with product managers and engineering teams to track KPIs, conduct A/B testing, and generate actionable insights.
What they look for
Requirements
Candidates should have a bachelor's degree in a relevant field and 3-5 years of experience in data analysis or product development. Proficiency in SQL, spreadsheet tools, and data visualization software is required.
Full description
This is a remote position.
The Product Analyst will support product teams by collecting, analyzing, and interpreting data to help improve product performance and user experience. This role is ideal for early-career professionals interested in product strategy, analytics, and digital product development.
Key Responsibilities
- Collect and analyze product and user data to generate insights.
- Support tracking of key product metrics and KPIs.
- Assist in creating dashboards and reports for product performance.
- Work with Product Managers to understand business questions and translate them into data analysis.
- Identify trends, patterns, and opportunities for product improvement.
- Support A/B testing and experiment tracking.
- Document findings and present insights in a clear and structured way.
- Collaborate with engineering and product teams to support data needs.
Required Qualifications
- Bachelor’s degree (completed or in progress) in Data Science, Business, Computer Science, Economics, or related field.
- 3-5 years of experience (internships or academic projects included).
- Basic understanding of data analysis and interpretation.
- Strong analytical and problem-solving skills.
- Good communication and reporting abilities.
- Interest in product development and user behavior analysis.
Technical Skills
- Basic SQL knowledge for data querying
- Spreadsheet tools (Excel / Google Sheets)
- Basic data visualization tools (Power BI, Tableau, or similar)
- Understanding of product metrics (DAU, MAU, retention, conversion)
- Familiarity with analytics tools (Google Analytics or similar)
- Basic understanding of product lifecycle and Agile teams
- Exposure to Jira.
Requirements
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