Senior Product Data Analyst
5 days ago
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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