Lead Product Analyst - Data Insights & Supply Chain Optimization
Lead Product Analyst - Data Insights & Supply Chain Optimization
Get It Recruit - Transportation
Addison, TX
See who Get It Recruit - Transportation has hired for this role
Pay found in job post
Retrieved from the description.
Base pay range
$100,000.00/yr - $125,000.00/yr
Description
Are you passionate about leveraging data to drive impactful decisions and improve operational efficiency? We're looking for a talented Product Analyst to join our team and help us transform the way we manage supply chain and logistics. In this role, you'll work with a dynamic team to solve complex challenges and enhance our operations through data-driven insights.
What You'll Do
Ready to make a difference and drive change through data? Apply today and join us in redefining the future of supply chain and logistics!
Employment Type: Full-Time
Are you passionate about leveraging data to drive impactful decisions and improve operational efficiency? We're looking for a talented Product Analyst to join our team and help us transform the way we manage supply chain and logistics. In this role, you'll work with a dynamic team to solve complex challenges and enhance our operations through data-driven insights.
What You'll Do
- Drive Key Decisions: Use advanced analytical techniques to perform in-depth analyses and guide critical product and business decisions.
- Automate Processes: Partner with Product and Engineering teams to automate operational processes and optimize efficiency.
- Optimize Operations: Build models to enhance driver planning, and provide insights on hiring strategies, performance, and retention.
- Forecast and Plan: Conduct growth and expansion analyses, including demand forecasting and inventory planning.
- Measure Impact: Evaluate the success of product launches through experimentation and measurement, and recommend solutions based on data.
- Build Data Models: Architect and build production data models that support data-driven decision-making and provide clean, transformed data ready for analysis.
- Collaborate Across Teams: Work closely with Product, Research, Engineering, Growth, and Operations teams to influence strategy and drive impactful roadmaps.
- Define Best Practices: Develop and maintain data documentation, and define best practices for data modeling and architecture.
- Educational Background: A degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science. A Master’s degree is a plus.
- Experience: At least 6 years of experience in analytics or analytics engineering with a strong focus on data analysis, modeling, and actionable insights, especially in operational and supply chain contexts.
- Technical Skills: Proficiency in SQL and one or more programming languages (e.g., Python), and experience with statistical inference, predictive modeling, and data transformation systems (e.g., DBT).
- Analytical Expertise: Proven ability to design and evaluate experiments, and experience with software version control systems (e.g., Git).
- Alignment with Values: A passion for addressing real user problems through data-driven solutions, and alignment with our core values such as putting patients first and driving continuous improvement.
- Adaptability: Thrive in a fast-paced, entrepreneurial environment and be willing to tackle new challenges and learn from them.
- Competitive Salary: \(100,000 - \)125,000
- Equity: Eligible for equity opportunities
- Travel: Required up to 15% of the time
- Benefits: Comprehensive benefits package including Medical, Dental, Vision, 401(k), Group Life, AD&D, employer-paid STD/LTD, generous PTO, and parental leave.
- Location Requirement: This role is remote, but candidates must be residing in specified states.
Ready to make a difference and drive change through data? Apply today and join us in redefining the future of supply chain and logistics!
Employment Type: Full-Time
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Research, Analyst, and Information Technology -
Industries
Human Resources Services
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