Early Career Product Analyst - Supply Chain & Logistics
2 days ago
🏡 Remote – Anywhere in California
Description
•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.
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 •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.
Benefits
•Full-time: Medical •Dental •Vision •401(k) •Group Life •AD&D •Employer paid STD/LTD •Generous PTO and parental leave.
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