Data Analyst – Pega, Campaign Design

Our client, a leading financial institution in Downtown Toronto, is looking for a Data Analyst – Pega, Campaign Design to design, build, and execute customer marketing offers/communications based on eligibility, analytics, decisioning logic, and segmentations to help elevate our customer’s experiences across channels and move to a personalized one-on-one customer journey. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Typical Day in Role:

• Apply Next Best Action design principles to build & test decision strategies/campaign eligibility using the Pega application to execute and monitor marketing offers.
• Document and implement business requirements to deliver key customer interactions across multiple channels.
• Analyze and synthesize data around campaign presentation and customer responses to identify trends, deliver key insights, and business recommendations around a customer-first approach to driving acquisition and engagement.
• Act as liaison between analytics, technology, quality assurance, business stakeholders, and channel partners.
• Provide subject matter expertise on customer contact and support data validation activities.
• Support production incident investigations and inquiries through our department’s help desk email.

Must-Have Skills:

• 8+ years of relevant work experience, preferably within the banking or retail industry.
• 8+ years’ experience with relational databases and SQL (e.g. SQL Server, DB2, MySQL, Google Cloud Platform, SAS, etc.).
• Experience working with multiple business partners and delivery timelines in a mid to large-sized and fast-paced type of organization.

Nice-To-Have Skills:

• Experience with Pega Marketing/Pega Decision Manager/Customer Decision Hub (CDH).
• Certified with Pega Decisioning Consultant (PCDC).
• Experience with targeted leads/campaign execution and segmentation.
• Demonstrated experience developing and delivering marketing communications in a multi-channel marketing environment.
• Experience with data visualization tools (e.g. PowerBI).

Soft Skills Required:

• Self-motivated.
• A high aptitude for problem solving and a natural interest in understanding customer behavior.

Education:

• Bachelor’s in a related field: Analytical background with a quantitative focus, such as statistics, applied mathematics, economics, or computer science.

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.