Dairy Data Analyst & Internal Support Specialist
Confidential
Full-time
Remote
Job description
About Us
Founded in 1959, Delaware Valley Floral Group (DVFG) has grown from a small family business into one of the nation’s largest floral distribution companies. For more than six decades, we’ve delivered premium fresh flowers and floral supplies to retail florists, event designers, and supermarkets across the country.
Founded in 1959, Delaware Valley Floral Group (DVFG) has grown from a small family business into one of the nation’s largest floral distribution companies. For more than six decades, we’ve delivered premium fresh flowers and floral supplies to retail florists, event designers, and supermarkets across the country.
We aim to be our customers’ most valuable supplier — and we believe our employees are the key to making that happen.
We’re looking for a data-savvy and curious Data Scientist with 3–5 years of experience to join our Fresh and Supplies Goods category team. In this role, you'll help improve forecasting, pricing, inventory, and promotional strategies by building and refining analytical models. You’ll play a key part in shaping smarter, more data-driven decisions — with the opportunity to grow your skills toward more advanced analytics and AI/ML integration over time.
Key Responsibilities
1. Demand Forecasting Support
- Build and maintain sales forecasting models at the SKU and category level.
- Use historical trends, seasonality, promotions, and other factors to improve forecast accuracy.
- Work with business teams to turn their needs into practical forecasting tools.
2. Pricing & Margin Analysis
- Support pricing decisions by analyzing costs, competition, and product performance.
- Help design and test simple pricing models that align with margin and inventory goals.
3. Inventory Insights
- Analyze inventory patterns and shelf-life data to reduce shrink and improve stock levels.
- Assist in building tools to flag overstock risks and recommend timely actions.
4. Promo Performance Tracking
- Analyze how promotions impact sales and margins using historical and real-time data.
- Support the team in identifying the best timing and products for future promotions.
5. Reporting & Dashboards
- Create dashboards and reports using tools like Power BI, Tableau, or Python Dash.
- Summarize data findings in a clear, actionable way for non-technical stakeholders.
6. Opportunity to Grow with AI/ML
- Contribute to early-stage projects that explore machine learning for demand forecasting, pricing, and inventory management.
- Learn and experiment with newer tools and approaches as we evolve our analytics.
7. Collaboration Across Teams
- Work closely with category managers, sourcing, marketing, and supply chain teams.
- Help others understand and use data insights to guide everyday decisions.
Benefits
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Short and long term disability benefits, life insurance and other supplemental benefit offerings
- Flexible Spending Accounts
- Paid time off, sick time and paid holidays
Work Environment/Travel:
This is an office-based position with extended periods of computer use. Occasional travel to warehouse or distribution facilities, including overnight stays, may be required. Light physical activity such as lifting or filing may occur.
- Bachelor’s degree in Data Science, Statistics, Math, Computer Science, or a related field.
- 3–5 years of experience in data analysis, preferably in retail, wholesale, or supply chain settings.
- Comfortable working with statistical models (e.g., time series, regression).
- Strong SQL skills; able to work with large datasets.
- Experience with BI tools like Power BI or Tableau.
- Curious, collaborative, and able to communicate findings clearly to non-technical teams.