Analyst: Advanced Analytics and Data Science

Wakefern Food Corp.; Edison (NJ); Hybrid; USD 70,000 - 110,000; Full time

Job summary

An established industry player is seeking an Analyst for Advanced Analytics and Data Science. In this dynamic role, you will leverage statistical techniques and machine learning to analyze complex data sets, providing actionable insights that drive strategic decisions. Collaborating with internal stakeholders, you will develop predictive models and dashboards that enhance business operations. This innovative firm offers a hybrid work environment, allowing you to balance in-person collaboration with remote flexibility. If you're passionate about data and eager to make a significant impact in the retail and food service industry, this opportunity is perfect for you.

Qualifications

• 4+ years of advanced analytics or data science experience required.
• Proficient in Python, R, SQL, and data visualization tools.

Responsibilities

• Analyze complex data sets to extract insights for strategic decisions.
• Design and implement analytical models for various business cases.

Skills

Statistical Techniques

Machine Learning

Data Analysis

Data-Driven Decision Making

Collaboration

Education

Bachelor's Degree in Business

Bachelor's Degree in Data Analytics

Advanced Degree

Tools

Python

R

SQL

Tableau

Power BI

Google Cloud (BigQuery, Vertex AI)

Job description

Analyst: Advanced Analytics and Data Science

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

Seniority level

Associate

Employment type

Full-time

Job function

Research, Analyst, and Information Technology

Industries

Retail and Food and Beverage Services