Apar Technologies

Data Scientist

Ridgefield Park, New Jersey, USA · Full-time

Sponsorship not specifiedDetected 105 days ago

PythonSQLData ScienceData VisualizationExcelCommunicationProblem Solving

About the role

This role is a 26 week project based analytics engagement focused on leveraging Kroger Collaborative Cloud data to answer high impact business questions using shopper transaction, basket, and loyalty data.

Partner closely with Customer Development, Shopper Marketing, and Analytics stakeholders to translate priority business questions into clear analytical approaches and insights using Kroger Collaborative Cloud data.
Collaborate with business partners & customer analytics to ensure consistent business logic, KPI definitions, and analytical assumptions when working with retailer transaction data.
Develop visual outputs and narratives (tables, charts, dashboards, or slide ready summaries) that effectively communicate insights to both technical and non technical audiences.
Act as a thought partner to the business by proactively identifying new analytical opportunities within KCC data to answer emerging business questions.
Support knowledge transfer and documentation of methodologies, assumptions, and findings to ensure continuity beyond the 26 week engagement.
Ability to manage work independently within a defined project timeline (26 weeks) while collaborating effectively with cross functional partners.

Looking for below skills with retail consumer analytics packed goods retail shopping analytics experience.
Role Overview This role is a 26 week project based analytics engagement focused on leveraging Kroger Collaborative Cloud data to answer high impact business questions using shopper transaction, basket, and loyalty data.
What You Need to Succeed Strong technical and analytical aptitude with the ability to focus analysis on business impact and decision making, not just outputs.
6+ years of experience working with large scale transaction or shopper level datasets, ideally within retail or consumer goods environments.
Hands on experience performing analysis using cloud based analytics environments and modern data tools (e.g., SQL, Python).
Proven experience translating retailer loyalty, transaction, and basket data into actionable commercial insights.
Strong communication skills, with the ability to clearly explain analytical findings and implications to non technical stakeholders.
High intellectual curiosity, structured problem solving skills, and comfort working in an ambiguous, fast moving environment.

Advanced analytical skills using SQL and/or Python to manipulate and analyze large transaction level datasets.
Experience designing analytical approaches to answer promotion, pricing, assortment, and shopper marketing business questions.
Ability to translate business questions into analytical hypotheses and structured analyses.
Strong data visualization and storytelling skills, with experience creating clear, compelling, and executive ready outputs.
Experience creating data visualizations and summaries using tools such as Power BI, Excel, or similar.
Experience working with Customer Development, Sales, or Shopper Marketing teams.
Experience in consumer goods, retail, or related industries.
Preferred Direct experience with Kroger Collaborative Cloud, 84.51 Stratum, or similar retailer data platforms.
Experience working with shopper marketing or joint business planning use cases.
Familiarity with syndicated data (e.g., Circana, Nielsen) and how it complements retailer transaction data.

This listing is sourced directly from Apar Technologies's careers page and normalized into a canonical job model.