Alto Pharmacy is hiring a
Early Career Product Analyst

Summary

Join Alto Pharmacy's Data Science & Analytics team to make a difference in patients' and providers' lives. As a Product Analyst, you'll use detailed analyses to guide product strategy and enable teams across Alto to answer key business questions.

Requirements

• BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science
• Experience in analytics or analytics engineering with a heavy focus on data analysis, data modeling, and providing actionable insights, particularly in operational and supply chain contexts
• Proven expertise in SQL and one or more programming languages (e.g., Python)
• Experience in statistical inference and predictive modeling (e.g., regression analyses)
• Experience designing and evaluating experiments for software products
• Experience with data transform systems (e.g., DBT) and working with large, complex datasets
• Experience with software version control systems (e.g., Git)
• Demonstrate a strong alignment with Alto’s mission and values: Patients Come First, Ownership, Seek to Understand, Communicate with Candor, Sprint through Two-way Doors, Go to N=1, Think 10x, Chip Away at it, Always Raise the Bar, Dance in the Storm
• Thrive in a dynamic, fast-paced entrepreneurial environment, with a willingness to tackle unfamiliar challenges and learn from mistakes
• Deep passion for addressing real user problems through data-driven solutions

Responsibilities

• Perform in-depth analyses using a variety of analytical and statistical measurement techniques to drive key product and business 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
• Perform growth and expansion analyses through demand forecasting and inventory planning
• Identify opportunities and quantify impact of product launches through experimentation and measurement
• Architect and build production data models that elevate data-driven decisioning
• Provide clean, transformed data ready for analysis
• Maintain data documentation and definitions
• Define and apply best practices for data modeling and DWH architecture design
• Act as a critical thought partner and collaborate closely with Product, Research, Engineering, Growth, and Operations
• Recommend solutions that drive meaningful impact for our patients and partners
• Measure impact of the initiatives launched using various analytical and statistical techniques to drive further improvements
• Influence product strategy and drive roadmaps through insights and recommendations
• 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
• Parental leave