Campaign Designer/ Developer – Base SAS, Python

JOB DESCRIPTION

Location: Hybrid | Downtown, Toronto

Duration: 12 months

Our client a leading financial institution in Downtown Toronto, is looking for a Campaign Designer/ Developer – Base SAS, Python to 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. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in role:

  • 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: Base SAS; Python; BigQuery SQL

Must-Have Skills:

  • 4+ years of Campaign Designer, Campaign Developer related experience needed, within a banking or retail industry
  • 4+ years’ Strong experience with Base SAS for campaign development and process development
  • 2+ years’ intermediate development experience with Python
  • 4+ years’ experience Campaign design and delivery experience (experimental design, target/control, statistical significance…etc)
  • 4+ years’ experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)

Nice-To-Have Skills:

  • Cloud computing experience
  • Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, computer science
  • 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

Finance professional is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.