Analytical Team Lead, Loyalty and Retail Analytics
7 months ago
**ROLE PROFILE**
**Title: Analytical Team Lead, Loyalty and Retail Analytics**
**Function**: Analytics and Optimization
**Reports to**: Director, Loyalty Analytics and BI Products
**Location**:Toronto
**Type**: Full Time, Permanent
**Role Description**
The individual is responsible for leading analytical projects end to end from gathering client/business requirements, developing methodologies, data mining, analyzing the results, preparing presentations, and presenting to client/stakeholders for all areas of business including ongoing enhancements and performance of a leading loyalty program and non-loyalty/operation analytics for a fuel’s retailer.
This role is a unique opportunity to join a dynamic team of analytical professionals that partners up with Business and Technology to design innovative, value-adding customer engagement solutions for our clients. The role is a great fit for motivated individuals seeking to further develop their expertise in the area of retail, complex customer behavior and predictive analytics.
**Primary Responsibilities**
- Lead projects that generate analytical insights that drive the performance of a large-scale loyalty program
- Lead the development of statistical methodologies for measuring pilots and program success
- Develop advanced analytics solutions that support customer engagement programs
- Establish mechanisms for program / campaign performance measurement
- Create custom analysis that add strategic value to the understanding of customer behavior and/or campaign performance
- Lead communication with internal stakeholders and client on projects.
- Prepare client facing presentations on analysis done and present those to the client or internal stakeholders
- Lead developing processes for standardization and creation of scalable solutions.
- Develop data requirements and measurement plans that accurately measure the success of the campaign objectives
- Ensure best practices around test/control/learn and contact strategy are adhered to for all campaigns
- Contribute to the overall operations and culture of the company, fostering our values and policies
**Capability Requirements - education, skills & experience**
- Graduate degree in Statistics, Mathematics, or other quantitative fields
- Masters in Statistics, Mathematics, or other quantitative fields, an asset
- 6+ years of experience within the field of data science, specifically in advanced non-loyalty analytic solutions, with 2+ years’ proven experience in managing a team
- Ability to find creative solutions to analytical and data problems
- Ability to effectively manage multiple assignments at once, ability to interpret research, extracting insights and communicating a compelling summary of findings that contribute to results
- Expert knowledge of SAS or Python
- 6+ years of expert-level hands-on coding in SQL
- Solid understanding of the structure of relational databases
- Attention to detail, high aptitude for problem solving and a natural interest in understanding and explaining consumer behavior / business
- Strong communication and interpersonal skills
**Job Types**: Full-time, Permanent
**Salary**: $90,000.00 per year
**Benefits**:
- Casual dress
- Company events
- Dental care
- Employee assistance program
- Extended health care
- Flexible schedule
- Life insurance
- Vision care
- Wellness program
Schedule:
- 8 hour shift
- Monday to Friday
Supplemental pay types:
- Bonus pay
Ability to commute/relocate:
- Toronto, ON M5C 2C5: reliably commute or plan to relocate before starting work (required)
**Education**:
- Bachelor's Degree (preferred)
Work Location: Hybrid remote in Toronto, ON M5C 2C5
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