What are the responsibilities and job description for the Analyst: Advanced Analytics and Data Science position at Wakefern Food Corp.?
About Wakefern
Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, Fairway®, Dibruno Bros. and Gourmet Garage® banners.
Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.
Summary
The Analyst will use statistical techniques and machine learning to analyze complex data sets to extract insights that will be used to inform strategic decisions across Wakefern.
Essential Functions
- Partner with internal stakeholders to identify business needs and deliver analytical insights in a uniform, consumable format
- Make data-driven business recommendations to leadership and membership based on results/trends identified in data analysis
- Design, and implement descriptive, predictive, and prescriptive analytical models for use across a wide range of business cases such as customer segmentations, sales planning, and marketing.
- Collaborate with IT to enable data and system architectures that simplify data accessibility, collection and curation for analytical purposes
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (i.e. SQL, R, Python)
- Develop dashboards which drive actionable insights; educate stakeholders to drive adoption of reporting.
- Foster a collaborative and innovative work environment across Wakefern
Additional Functions
- Monitor data pipelines and identify potential data quality issues; enforce data quality standards
- Challenge assumptive thinking and the status quo through data-driven analysis
- Agility to adjust priorities and work on multiple projects at the same time, while addressing ad hoc data requests
Qualifications
- Minimum of 4 year bachelor’s degree in Business, Data Analytics, Economics, Statistics or related degree. Advanced degree preferred
- 4 years of advanced analytics or data science experience in a business environment; Grocery or CPG industry experience a plus but not required
- Proficient in programming languages such as Python, R, & SAS/SQL are required, VBA a plus
- Proficient in Data Visuals & Data Visualization tools (i.e. Tableau, Power BI, Looker)
- Familiarity with Google Cloud tools (i.e. BigQuery & Vertex AI) and database structures
Working Conditions & Physical Demands
- Ability to monitor computer screens for long periods of time
- Ability to work a hybrid schedule, with a current requirement of 4 days in person
- Ability to flex hybrid schedule to attend important meetings and vendor or store visits based on business needs
