Location::Remote
Client:-HCL
Experience:-10+Years
Job description:
We are looking for an experienced Senior Product Data Analyst to support our product development team. If you have a passion for using data to shape the future of software products and thrive in a fast-paced, data-driven environment, this position is a great fit.
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.
• Experience with Python or R for data analysis and automation is a plus.
Ideal Candidate:
• Someone who is looking to move into a lead role and shape the data analytics function from the ground up.
• Comfortable working in a new position with minimal legacy processes, and able to establish best practices.
• Able to partner effectively with product management and engineering teams to identify opportunities and drive data-informed decision-making.
• Familiar with dashboarding tools like Tableau or Looker and able to use them to create insightful visualizations.
• Experience with product analytics tools, preferably Amplitude, but familiarity with similar tools like Pendo is also valuable.
• Strong grounding in data analysis and automation, with the ability to use Python or R for advanced data processing.
Additional Note:
Senior/Lead level Product Data Analyst role. Relatively greenfield environment where the candidate can shape future direction. Ideal for someone looking for growth opportunity
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