Senior Product Analyst

September 16

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Description

• Perform in-depth analysis on our pharmacy, patient-facing, and provider-facing products to drive key product decisions • Partner with our Product and Engineering teams to automate operational processes • Optimize inventory planning by building operation models • Provide insights on driver hiring strategy, performance, and retention • Design & build data models that elevate data driven decisioning through speed to insights & data democratization • Provide clean, transformed data ready for analysis • Apply software engineering best practices to analytics code • Maintain data documentation & definitions • Uplevel the data team by providing guidance & setting best practices for data modeling & DWH architecture design • Support product roadmap by identifying opportunities and quantifying impact of product launches through A/B experimentation and measurement • Design, implement, and launch dashboards using SQL to measure the success of our product initiatives • Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations to provide visibility and recommend solutions to drive meaningful impact to our patients and providers • Work with the product team to identify continuous improvement opportunities in procurement, inventory management and fulfillment to drive margins up. • Measure impact of the initiatives launched using various measurement techniques to drive further improvements • Ensure data accuracy and reporting consistency by identifying and implementing data analysis best practices • Develop data pipelines which help streamline process and increase automation • Provide business visibility through reporting/dashboarding in Looker using SQL queries and dbt modeling. • Perform growth and expansion analysis, and plan for new facilities through demand forecasting and inventory planning. • Contribute to defining our team and company data culture through peer collaboration, coaching, and input into the team processes we adopt as we grow the Analytics team together

Requirements

• BA/BS or Master's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science. • Minimum of 5 years of work experience in an analytics or technical role, using SQL regularly for data analysis, ETL design, and providing actionable insights • Demonstrated ability to closely collaborate with business, product, engineering, research and design to influence and inform decision-making throughout the product lifecycle. • Proven expertise in SQL-based data manipulation, with extensive experience in scripting, extracting large datasets, and designing complex ETL workflows. • Advanced proficiency in creating and managing dashboards using Looker, Tableau, or similar BI tools. • Deep passion for addressing real user problems through data-driven solutions. • Ability to thrive in a dynamic, fast-paced entrepreneurial environment, with a willingness to tackle unfamiliar challenges and learn from mistakes.

Benefits

• Medical • Dental • Vision • 401(k) • Group Life • AD&D • Employer paid STD/LTD • generous PTO • parental leave.