Product Analyst

Employment Type: Full-time

Position Overview

Alto is investing in its Data Science & Analytics team to make a difference for patients and providers. The Analytics team supports Product, Growth, Marketing, Care, Supply Chain, and Operations teams by providing insights for better product development and execution, aiming for maximum impact. Product Analysts are responsible for using detailed analyses to guide product strategy and enable teams across Alto to answer key business questions. This role involves close collaboration with Product and Operations teams to support and drive high-quality, data-driven decisions.

Responsibilities

• Perform in-depth analysis on pharmacy, patient-facing, and provider-facing products to drive key product decisions.
• Partner with 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 to enhance data-driven decisioning through speed to insights and 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 the product roadmap by identifying opportunities and quantifying the impact of product launches through A/B experimentation and measurement.
• Design, implement, and launch dashboards using SQL to measure the success of product initiatives.
• Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations to provide visibility and recommend solutions that drive meaningful impact for patients and providers.
• Work with the product team to identify continuous improvement opportunities in procurement, inventory management, and fulfillment to drive margins up.
• Measure the impact of launched initiatives 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 to streamline processes 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 the team and company data culture through peer collaboration, coaching, and input into team processes as the Analytics team grows.

Minimum Qualifications

• 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.
• Advanced proficiency in creating and managing dashboards using Looker, Tableau, or similar BI tools.
• Proven expertise in SQL-based data manipulation, with extensive experience in scripting, extracting large datasets, and designing complex ETL workflows.

Preferred Qualifications

• Demonstrated ability to closely collaborate with business, product, engineering, research, and design teams to influence and inform decision-making throughout the product lifecycle.
• 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.

Additional Information

Physical Job Requirements:

• Ability to work at a computer terminal with monitor, keyboard, and mouse for extended periods of time.
• Ability to stoop, bend, and reach for equipment and supplies.
• Ability to make frequent repetitions.