Remote Senior Product Analyst

Summary

Join Alto Pharmacy's Data Science & Analytics team to make a difference in patient and provider experiences. As a Product Analyst, you'll perform in-depth analysis to guide product strategy and drive high-quality, data-driven decisions.

Requirements

• Embody Alto’s mission and values - Patients Come First, Leave No Patient Behind, Start With Empathy, Focus On Impact, Think Rigorously, Be Humble
• Expert fluency in SQL-based data manipulation. Experience in scripting with SQL, extracting large sets of data, and design of ETL flows
• BA/BS or Master's degree in a quantitative field such as; Statistics, Computer Science, Engineering, Mathematics, Data Science
• At least 8 years of work experience in an analytics or technical role, using SQL regularly to analyze data and provide insights with a specific focus on operational and supply chain data
• Closely partner with business, product, engineering, research and design to influence and inform teammates’ decisions throughout the product lifecycle
• High level of comfort creating dashboards in Looker/Tableau or comparable software
• Passionate about solving real user problems with data-driven solutions
• Thrive in a dynamic fast-paced entrepreneurial environment. You're unafraid to dive into an unfamiliar problem but humble enough to make mistakes and iterate

Responsibilities

• 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 driver 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

Benefits

Full-time: Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave