Early Career Product Analyst, Supply Chain & Logistics

Alto Pharmacy is a full-service, digitally-powered pharmacy that makes it simple to live your healthiest life by providing an easier, more supportive and more affordable pharmacy experience. We’re redefining what a pharmacy can do, with fast and reliable prescription delivery, tools like treatment reminders and medication bundling, direct access to care specialists, and support with insurance and cost savings. By focusing on the person behind the prescription, our model boosts adherence, improves health outcomes, and keeps our customers returning month after month. Learn more at www.alto.com.

To achieve our vision, we continue to invest in our Data Science & Analytics team to make a difference to our patients and providers. The Analytics team supports our Product, Growth, Marketing, Care, Supply Chain, and Operations teams with insights on better product development and execution to have maximum impact. Product Analysts are responsible for using detailed analyses to guide product strategy and for enabling teams across Alto to answer key business questions. You will work closely with our Product and Operations teams to support and drive high-quality, data-driven decisions.

Accelerate Your Career as You

• 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

A Bit About You

Minimum Qualifications:

• 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.

Additional Physical Job Requirements

• Reading English, comprehending, and following simple oral and written instructions. 
• The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.  Assessing the accuracy, neatness and thoroughness of the work assigned.
• Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly. 
• Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral