Retail Insights Data Specialist

Dartmouth, Nova Scotia, CA, B2X 1R5

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Requisition ID:  184205 
Career Group:  Corporate Office Careers 
Job Category:  Marketing Technology & Digital 
Travel Requirements:  0 - 10%
Job Type:  Full-Time
 
Country: Canada (CA) 
Province: Nova Scotia; Alberta; Ontario  
City: Halifax (Primary Location), Stellarton, Mississauga, Calgary
 

Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.

 

Our family of 128,000 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 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family. 
 

Ready to Make an impact?

 

We are looking for a Retail Insights Data Specialist to join our retail media network team, who will be responsible for analyzing advertiser data to deliver key insights such as category, audience, and product-specific metrics. You'll leverage both quantitative and qualitative research methods to gain a deeper understanding of our advertisers' customers, delivering causal insights and impact analyses.

 

This position will be based in our office in Halifax, Nova Scotia. We offer a competitive salary along with a comprehensive benefits package. We will also provide relocation assistance for qualified candidates interested in making Nova Scotia their new home.

Here’s where you’ll be focusing:

  • Analyze advertiser data to deliver key insights (e.g., category, audience, and product specific metrics) and performance recommendations
  • Leverage quantitative and qualitative research methods to unlock a deeper understanding of advertisers’ customers
  • Deliver causal insights and measurement impact analysis
  • Execute manual statistical analysis to validate data interpretations and ensure the accuracy of automated processes, documenting methods and results comprehensively
  • Execute end-to-end measurement projects and make actionable recommendations to the business
  • Provide insights for process and measurement/analytics tools and platforms improvement initiatives to scale data and measurement solutions
  • Build and analyze key metrics to uncover trends and root causes of issues

What you have to offer:

  • Undergraduate degree
  • 8+ years experience in data analytics
  • Proficient in using common analytics tools such as R and Python
  • Experience building customer segments using advanced query techniques on large data sets.     
  • CDP experience is a plus
  • Experience building decisioning models (e.g., propensity)
  • Experience with planning, development, and analysis of primary quantitative research
  • Ability to synthesize and clearly communicate findings from data and research to focus on the critical issues and actionable opportunities

 

#LI-Hybrid

 

At Empire we require our teammates to have the ability to adhere to a hybrid work model that requires your presence at one of our office locations at least three days per week. This requirement is integral to our commitment to team collaboration and the overall success of our office culture.

 

We offer a comprehensive Total Rewards package, which varies by role and designed to help our teammates to live better – physically, financially and emotionally. 

 

Some websites share our job opportunities and may provide salary estimates without our knowledge. These estimates are based on similar jobs and postings for general comparison, but these numbers are not provided by our organization nor monitored for accuracy. 

 

We will consider factors such as your working location, work experience and skills as well as internal equity, and market conditions to ensure the selected candidate is paid fairly and competitively. We look forward to discussing the specific compensation details relevant to this role with candidates who are selected to move forward in the recruitment process. 

 

Our Total Rewards programs, for full-time teammates, goes well beyond your paycheque:

  • Competitive Benefits Package, tailored to meet your needs, including health and dental coverage, life, short- and long-term disability insurance.
  • Access to Virtual Health Care Platform and Employee and Family Assistance Program.
  • A Retirement and Savings Plan that provides you with the opportunity to build and add value to your savings.
  • A 10% in-store discount at our participating banners and access to a wide range of other discount programs, making your purchases more affordable.
  • Learning and Development Resources to fuel your professional growth.
  • Parental leave top-up
  • Paid Vacation and Days-off

 

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Deep Learning Jobs

Tags: Data Analytics Python R Research Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance Parental leave Relocation support

Region: North America
Country: Canada

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