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Title

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Product Data Analyst

Description

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We are looking for a skilled Product Data Analyst to join our dynamic team. In this role, you will be responsible for collecting, analyzing, and interpreting data related to our products to help guide strategic decisions and improve product performance. You will work closely with product managers, marketing teams, and engineers to identify trends, measure product success, and provide actionable insights. The ideal candidate has a strong analytical mindset, proficiency in data analysis tools, and a passion for turning data into meaningful business outcomes. Responsibilities include designing and maintaining dashboards, conducting A/B testing analysis, and collaborating across departments to support product development and optimization. This position requires excellent communication skills to present findings clearly to both technical and non-technical stakeholders. Join us to help shape the future of our products through data-driven insights and innovation.

Responsibilities

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  • 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

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  • 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

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  • 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?