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COVID-19 screening questions will be asked and documented during the interviewing process. Hiring decisions will require, among other criteria, a determination of low risk based on the answers.

Specialist Loyalty Analytics

Requisition ID:  159468 

Career Group:  Corporate Office Careers 

Job Category:  Consumer Insights Marketing 

Travel Requirements:  0 - 10%

Job Type:  Full-Time

 

Country: Canada (CA) 

Province: Ontario  

City: Mississauga

Location: Tahoe Office 

Postal Code: L4W 0C7 

 

Our family of 134,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.  

 

A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1500 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawton’s Drug Stores or another of our great banners but we are all one extended family. 

 

All career opportunities will be open a minimum of 5 business days from the date of posting.

 

Overview

The Loyalty Analytics Specialist is responsible for the interpretation of transactional data, market research and consumer behavior studies to generate customer insights that support our customer-centric, data-driven decision-making processes.

This role analyzes trends in key business metrics with the objective of delivering accurate, timely & actionable campaigns to loyalty customers and insights to key stakeholders in the business including Senior Management, Marketing, Merchandising, Category Management, Finance & Retail Operations.

 

Job Description

  • Collaborates with key functional areas across the business unit including Merchandising, Category Management, Marketing, Finance & Operations to capture analytics requirements and deploy customer insights into everyday decision making
  • Performs the necessary data preparation for loyalty weekly campaigns (universe selection, scrubbing data, checking data…)
  • Perform ad-hoc queries, customer analysis and other analytical functions to support critical decision-making processes of the Marketing & Merchandising teams
  • Frequently acts as a first point of contact for insight support for key stakeholders in Merchandising, Category Management & Marketing, responding in a timely and effective manner to all requests
  • Directly communicate campaign insights and analysis to stakeholders, identifying key results, impact to business, assess performance against objectives and enabling stakeholders with information which allows for continuous improvement
  • Develops and performs post-campaign analysis on multi-channel promotions and/or special events, and provide insight and recommendations based on findings
  • Champions the integration of customer insights from campaigns into business processes and proactively evaluates customer data to provide solutions and inform business decisions
  • Continuously assess and validate customer data to ensure accuracy of reports used for critical decision-making processes
  • Design standardized reporting and graphic visualizations (Tableau) of key sales metrics and trends to support the effective use of this information by key stakeholders in decision making

Job Requirements

  • High level of comfort with relational databases and working with large and complex datasets to generate insights
  • Highly proficient with SAS and/or ability to adapt experience with other SQL tools to use of SAS Enterprise Guide
  • Experience interpreting data and explaining analytical concepts to individuals with varying analytical backgrounds
  • Ability to work independently and within a team
  • Ability to meet dynamic and challenging deadlines
  • Superior communication skills (both oral and written)
  • Proficient in MS suite of tools (Excel, PowerPoint, Word, Access)
  • Proficient in Data Bricks, Python, or Synapse
  • Experience with Cloud Environment, specifically Databricks and Azure is a big asset
  • Experience working with visualization environments like Tableau or Google Data Studio

Preferred:

  • 5+ years of experience with SAS and/or SAS EG
  • Strong background in data mining and/or statistical modeling
  • Working knowledge of star schema databases

Sobeys is committed to accommodating applicants with disabilities throughout the hiring process and will work with applicants requesting accommodation at any stage of this process.

 

 

While all responses are appreciated only those being considered for interviews will be acknowledged.

 

We appreciate the interest from the Staffing industry however respectfully request no calls or unsolicited resumes from Agencies.