Senior Product Data Analyst

5 days ago


Warren, Michigan, United States Randstad Full time

Job Title: Senior Product Data Analyst

Job Summary:

We are seeking a skilled Senior Product Data Analyst to join our team. As a Senior Product Data Analyst, you will be responsible for collecting, analyzing, and visualizing key product data to drive data-informed decision-making. You will work closely with Product Managers and Engineering leaders to define product goals and KPIs, and provide data-driven insights to support decision-making.

Key Responsibilities:

  • Partner with Product Managers and Engineering leaders to define product goals and KPIs, and provide data-driven insights to support decision-making.
  • Use Amplitude and other analytics tools to track user behavior, product performance, and feature usage.
  • Extract and analyze datasets from MongoDB to identify patterns, trends, and areas of opportunity.
  • Automate data collection and reporting processes to streamline analysis and ensure accuracy.
  • Develop and maintain advanced dashboards using Tableau and Looker to visualize product performance and communicate key insights to stakeholders.
  • Lead in-depth analysis of product data, identifying user behaviors and trends that impact feature adoption and product outcomes.
  • Analyze A/B tests to measure the effectiveness of product changes and optimize performance.
  • Provide recommendations on product enhancements based on data-driven insights and monitor the ROI of product initiatives.
  • Collaborate with the engineering team to improve data infrastructure and ensure data accuracy and completeness.
  • Lead the automation of recurring reports and deep-dive analyses to provide ongoing visibility into product metrics.

Qualifications:

  • Bachelor's or Master's degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field.
  • 5+ years of experience in a data analysis role, with a strong focus on software products or technology.
  • Proficiency with Amplitude and other product analytics tools.
  • Experience with MongoDB or other NoSQL databases for querying and manipulating large datasets.
  • Strong experience with Tableau and/or Looker for building and maintaining high-quality data visualizations and dashboards.
  • Proven ability to analyze complex datasets, identify trends, and deliver actionable recommendations.
  • Experience automating data collection, reporting, and dashboard generation.
  • Experience with A/B testing methodologies and statistical analysis to measure product performance.
  • Excellent communication and storytelling skills to present data findings to both technical and non-technical stakeholders.


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