15 Senior Product Analyst - Data-Driven Supply Chain & Logistics Jobs in New York, NY
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Senior Product Analyst - Data-Driven Supply Chain & Logistics
$109k-136k (estimate)
Full Time
1 Week Ago
Get It Recruit - Transportation is Hiring a Senior Product Analyst - Data-Driven Supply Chain & Logistics Near New York, NY
DescriptionWe're on a mission to redefine the pharmacy experience with innovative solutions that make healthcare simpler, more supportive, and affordable. By combining cutting-edge technology with personalized service, we're transforming the way prescriptions are delivered and managed. Our goal is to improve health outcomes and enhance customer satisfaction through a seamless and supportive pharmacy experience.
We're seeking a passionate and skilled Product Analyst to join our remote team and drive data-informed decisions in supply chain and logistics. In this role, you'll leverage your analytical expertise to support product development, optimize operations, and enhance our overall efficiency. You'll work closely with Product, Engineering, and Operations teams to ensure that our strategies and processes are grounded in solid data insights.
Key Responsibilities
Employment Type: Full-Time
We're seeking a passionate and skilled Product Analyst to join our remote team and drive data-informed decisions in supply chain and logistics. In this role, you'll leverage your analytical expertise to support product development, optimize operations, and enhance our overall efficiency. You'll work closely with Product, Engineering, and Operations teams to ensure that our strategies and processes are grounded in solid data insights.
Key Responsibilities
- Data Analysis: Perform detailed analyses using a range of statistical and analytical techniques to guide product and business decisions.
- Process Optimization: Partner with Product and Engineering teams to automate operational processes and optimize driver planning through advanced models.
- Strategic Insights: Provide insights on driver hiring strategies, performance, and retention. Conduct growth and expansion analyses to support demand forecasting and inventory planning.
- Experimentation & Measurement: Identify opportunities for product improvements and measure the impact of launches through rigorous experimentation and analysis.
- Data Architecture: Build and maintain data models and ensure clean, transformed data is ready for analysis. Define and implement best practices for data modeling and data warehouse design.
- Collaboration: Work closely with cross-functional teams including Product, Research, Engineering, Growth, and Operations to drive impactful solutions and influence product strategy.
- Continuous Improvement: Contribute to the development of our team's data culture and processes, offering insights and recommendations to enhance our data-driven decision-making.
- Education: BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
- Experience: Minimum of 6 years in analytics or analytics engineering, with a strong focus on data analysis, modeling, and operational insights.
- Technical Skills: Proficiency in SQL and one or more programming languages (e.g., Python). Experience with statistical inference, predictive modeling, and data transformation systems (e.g., DBT).
- Analytical Skills: Proven ability to design and evaluate experiments, work with large datasets, and apply statistical techniques for decision-making.
- Soft Skills: Excellent communication skills, a strong alignment with our values, and a passion for solving real user problems through data.
- Location Requirement: Candidates must reside in one of the following states: CA, CT, CO, FL, NV, IL, NY, KS, TX, MD, WA, MO, NJ, NC, OR, PA, SC, TN, WI.
- Visa Requirements: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.
Employment Type: Full-Time
Job Summary
JOB TYPE
Full Time
SALARY
$109k-136k (estimate)
POST DATE
09/02/2024
EXPIRATION DATE
09/28/2024
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