Senior Consultant, Direct Marketing Analytics - 56368-1

Position Title: Senior Consultant, Direct Marketing Analytics

Work location: 81 Bay 33rd Floor
• WFH? This resource will be working under a hybrid model (4 days remote and 1 day in person).
        • If yes, would you consider non-GTA candidates for the opening? No

Responsibilities:
The Senior Consultant is primarily responsible for ongoing and ad-hoc analytical support of secured/unsecured lending campaigns and programs, including the delivery of detailed campaign post-analyses at the portfolio and channel of acquisition levels, as well as the identification of strategic insights and recommendations that will help drive the business.

· Provides analysis and reporting to enable direct marketing strategy by engaging in sales lead evaluation, direct marketing campaign measurement, and client centric analyses across the bank’s lending LOB.
· Responsible for understanding secured/unsecured lending programs and campaigns and the impact that they have in card members/clients.
· Conducts deep-dive analytics to provide business insights to assist the lending team in meeting their strategic goals. Familiarity with a text vs. control campaign performance assessment methodology.
· Analyzes how campaigns drive client behaviour. Provide analytical support in the creation of cardholder journey stories and presentations to Senior Management, including quarterly business review presentations.
· Performs a consultative role in working with multiple card stakeholders and with cross-functional teams on card analytics.
· Understands and meets the needs of Lending stakeholders, including supporting with ad-hoc requests.
· Informs and updates leaders, team members and business partners on relevant information in a timely manner


Must Haves:
• 3-5 years of experience in direct marketing campaign performance measurement and reporting, including test-control methodology, A-B testing and statistical testing, measuring KPIs and lifts.
• Previous experience in the Financial industry and familiarity with financial products.
• Experience manipulating and synthesizing large volumes of complex information from multiple sources, then extracting insights from the data, in order to make business recommendations that will drive strategy.
• Strong communication and story-telling skills, in order to properly showcase the results of his/her work to non-technical audiences.
• Strong knowledge of data modeling and statistical analysis techniques
• Experience working with multiple stakeholders
• SQL experience
• SAS experience
• University degree in Computer Science, Information Technology, Engineering, Business, Math or other quantitative discipline.

Nice to have:
• Digital analytics experience