Resource Logistics is hiring: Data Analyst (remote workProduct ) in Dallas

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