Marketing Analytics Developer - 40085

Marketing Analytics Developer - 40085

Duration: Contract until October 30th, 2026 (possible extension)

Location: Toronto (3 days onsite)

Story Behind the Need:

Business group: Canadian Analytics - campaign delivery, generating target marketing lists, generate fields that go out to channels or reporting and analysis that goes out to BLs

Key Accountabilities:

• Design and integrate customer decisioning, segmentations and recommendation/decision logic to help elevate our customer’s experiences across channels and move to a personalized 1:1 customer journey

• Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement

• Act as an analytics generalist, provide subject matter expertise on customer contact, advanced analytics, data driven design and segmentation and the use of statistical analysis and machine learning to deliver customer communication

• Ability to implement and validate new process by designing, developing and testing the process or design and execute on improvements.

• Supporting key information technology initiatives, such as enhancements in single view of customer, customer data warehouse, CRM and campaign management tools

• Tech stack: Python; SQL; Base SAS; GCP, BigQuery

Must Have skills:

1) 4+ years of Campaign Designer, Campaign Developer related experience needed, within a banking or retail industry

2) 4+ years development experience with Python

3) 4+ years Strong experience with Base SAS for campaign development and process development

4) 2+ years of recent experience with GCP and Workstation is critical for the role.

5) 4+ years' experience Campaign design and delivery experience (experimental design, target/control, statistical significance…etc)

6) 4+ years' experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)

Nice to have:

1) Cloud computing experience

2) Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science

3) Data management experience

Soft Skills Required:

• Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective

• Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior

• Detail oriented with emphasis on quality and accuracy

Education:

• Bachelor’s degree in related technical fields

• Any certifications with GCP are a nice to have.

Best VS. Average Candidate:

The ideal candidate will be an experienced Data Analyst with strong recent experience with Python, SQL, GCP and SAS.

Attention to detail is a big factor; being able to structure the analysis system and performance of campaigns in a clear and concise way; candidate who is curious to improve processes; best would have financial institution experience and understand pressures of accuracy in such an environment

Candidate Review & Selection

1 round - MS Teams Video interview - 30 minutes - with HM, and 2 senior managers

Hiring Manager’s availability to interview: ASAP