Senior Digital Credit Card Business Analyst - provide analytical support to various credit card acquisition and retention campaigns and programs. 95733-1

Position Title: Business Analyst - Expert

Line of Business: Digital and Direct Marketing (DDM) - is responsible for The Bank’s digital and direct marketing programs. Within DDM, the Marketing Data and Advanced Analytics team (MDAA) team is responsible for supporting direct marketing efforts by creating a culture of data-driven decision making across the Bank

Target Start Date: January

Contract Duration: 12 months

Remote/Hybrid: Hybrid - In office on Thursdays & 4th friday of every month. Onsite requirements are subject to change based on business needs.

Location Address: 81 Bay 33rd Floor

Reason: Support required for a new Agile POD supporting the Credit Card business.

Project: The resource will provide analytical support to various credit card acquisition and retention campaigns and programs.

Job Description:

o The Senior Consultant is primarily responsible for ongoing and ad-hoc analytical support of credit card acquisition and retention 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 Cards business.

Provides analysis and reporting to enable direct marketing strategy by engaging in sales lead evaluation, direct marketing campaign measurement, and client centric analyses for the credit Cards LOB.

o Responsible for understanding credit card acquisition and retention programs and campaigns and the impact that they have in card members/clients.

o Conducts deep-dive analytics to provide business insights to assist the Cards team in meeting their strategic goals. Familiarity with test vs. control and A/B testing campaign performance assessment methodology.

o Analyzes how campaigns drive client behaviour. Provide analytical support in the creation of cardholder journey stories and presentations to Senior Management, including monthly and quarterly business review presentations.

o Performs a consultative role in working with multiple card stakeholders and with cross-functional teams on card analytics.

o Understands and meets the needs of Cards stakeholders, including supporting with ad-hoc requests.

o Informs and updates leaders, team members and business partners on relevant information in a timely manner

o The individual will work as part of an Agile POD infrastructure.

• Challenges of the role: There is the expectation to deliver quickly, this is a fast paced environment. The resource will need to manage multiple stakeholders at the same time. The contractor needs to be able to explain the results of his technical/analytical work to a non-technical audience, who on the other hand are experts in the credit card business. So, storytelling and previous experience in the Cards industry are mandatory. Also, this individual will be part of an Agile POD, so previous experience working as part of an Agile team is highly desirable

Must haves:

**credit card analytics experience is absolutely mandatory for the role! **

1. 3-5 years of experience in a consultative role focusing on data analysis. (8+ as a previous BA)

2. Previous experience in the Credit Card business (Banking or credit card industry)

- Deep understanding of credit card lifecycle: onboarding, usage trends, customer segmentation, and retention.

- Experience with cross-functional collaboration involving Digital, Risk, Marketing, Compliance, and IT teams.

3. Experience manipulating and synthesizing large volumes of complex information from multiple sources.

- SQL, SAS, Tableau, and Excel

4. Strong knowledge of data modeling and statistical analysis techniques.

5. Experience working with multiple stakeholders.

6. Experience working on an Agile team.

7. SQL experience / SAS experience (build and run macros)

Nice to have:

1. Digital analytics experience (Adobe)

Education and Certifications: University degree in Computer Science, Information Technology, Engineering, Business, Math or other quantitative discipline.