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Resource Logistics

Data Analyst (remote workProduct )

Resource Logistics, Dallas, TX, United States


Product Data Analyst
Contract
Remote work
• 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
Experience
5-9 Years