Title
Text copied to clipboard!Product Data Analyst
Description
Text copied to clipboard!Responsibilities
Text copied to clipboard!- Collect and analyze product-related data to identify trends and opportunities.
- Develop and maintain dashboards and reports for product performance monitoring.
- Collaborate with product managers to define key performance indicators (KPIs).
- Conduct A/B testing and analyze results to inform product decisions.
- Work with cross-functional teams to support product development and optimization.
- Present data insights and recommendations to stakeholders clearly and effectively.
- Ensure data quality and integrity across all product datasets.
- Identify data gaps and propose solutions to improve data collection.
- Stay updated with industry trends and best practices in data analysis.
- Support the implementation of data-driven strategies for product growth.
Requirements
Text copied to clipboard!- Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
- Proficiency in data analysis tools such as SQL, Python, R, or Excel.
- Experience with data visualization tools like Tableau, Power BI, or Looker.
- Strong analytical and problem-solving skills.
- Ability to communicate complex data insights to non-technical audiences.
- Experience with A/B testing and statistical analysis.
- Knowledge of product management processes is a plus.
- Attention to detail and commitment to data accuracy.
- Ability to work collaboratively in a team environment.
- Strong organizational and time management skills.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with product data analysis?
- Which data analysis tools are you most proficient in?
- How do you approach designing a dashboard for product metrics?
- Describe a time when your data insights influenced a product decision.
- How do you ensure data quality and accuracy in your analyses?
- What methods do you use to communicate complex data findings to stakeholders?
- Have you worked with A/B testing before? Please explain your approach.
- How do you prioritize multiple data requests from different teams?