Demand Planning Data Analyst

• Location 2 St. Ann's Avenue,Bronx, NY, 10454,United States

About Us

Fresh Direct
, we are reinventing the grocery experience.

Since day one, our mission has been simple: bring the best, freshest food directly from the farm to people’s homes — faster, fresher, and smarter than anyone else.

We’re not just a food company. We’re a technology-powered, customer-obsessed team building one of the most innovative end-to-end food supply chains in the industry. From proprietary routing systems to our state-of-the-art fulfillment center, every part of our business is designed to deliver unmatched quality, convenience, and care.

We partner directly with farmers, fishermen, and artisans to source the highest quality ingredients — then use smart data, automation, and logistics to deliver them at peak freshness.

It’s grocery shopping reimagined — and we’re just getting started.

If you’re passionate about innovation, care deeply about what people eat, and want to help build the future of food, we’d love to meet you.

The Demand Planning Data Analyst supports the Demand Planner Manager in operating the forecasting engine that drives Fresh Direct's inventory planning and procurement processes. This role is responsible for creating accurate product forecasts based on anticipated customer demand, analyzing performance metrics, and ensuring optimal in-stock levels and service standards. Key responsibilities include managing weekly forecasting processes and collaborating with cross-functional teams to enhance forecast accuracy.

The ideal candidate will possess strong communication skills to convey technical concepts to non-technical colleagues, along with a commitment to continuous learning and process improvement.

• Responsible for the creation, maintenance, and updating of demand forecasts by Base-Material-Plant-Day for the next 150 days (in base units), using the company's demand-planning platform alongside other tools.
• Execute and refine the weekly forecasting process, continuously seeking opportunities for improvement.
• Analyze and interpret complex datasets from multiple sources to inform decision-making.
• Apply statistical forecasting models to produce data-driven predictions.
• Achieve consensus for forecasts by collaborating with merchandising, purchasing, marketing and Supply Chain, Production, Operations, etc.
• Partner with the Demand Planner Manager to account for promotional impacts in forecasts.
• Track and report on forecast accuracy and related KPIs — including service levels, promotion impact, scrap, out-of-stock, and days on hand — to drive continuous improvement.
• Own root-cause analysis on forecast misses and lead weekly or biweekly consensus meetings with merchant partners to drive continuous improvement in forecast accuracy.
• Collaborate with cross-functional teams on sales or forecast-related projects as needed.
• Communicate forecast trends and their alignment with business changes to non-technical stakeholders.
• Manipulate and manage data sets with good governance.

• Bachelor’s degree in Business Analytics, Supply Chain Management, Data Analytics, or a related field, or equivalent experience.
• 1-4 years of experience in demand planning, forecasting, or analytics roles at least.
• Fast learner with strong analytical skills.
• Proven ability to evaluate large data sets and turn findings into actionable recommendations.
• Advanced Excel skills and experience with visualization tools required.
• Working knowledge of SQL or Python for data extraction and reporting required.
• Experience with RELEX, Blue Yonder, o9, or similar demand planning platforms preferred.
• Experience with SAP or similar ERP systems preferred.

• Strong analytical and problem-solving skills, with the ability to identify trends and root causes in complex datasets
• Ability to translate data insights into actionable recommendations
• Strong interpersonal skills, with the ability to build consensus across merchandising, purchasing, and supply chain stakeholders
• Clear communication skills with the ability to explain technical concepts to non-technical audiences
• Detail-oriented with strong follow-through and a sense of…