Overview
Our client, a top banking client in Canada, is looking to hire a Business Analyst - Credit Card for their team. The contract is for 12 months and is renewable. This role is Hybrid, i.e. on Thursdays in the Toronto office.
Responsibilities
- 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.
- Responsible for understanding credit card acquisition and retention programs and campaigns and the impact that they have in card members / clients.
- 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.
- Anlyzes 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.
- The individual will work as part of an Agile POD infrastructure.
- 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.
- Performs a consultative role in working with multiple card stakeholders and with cross-functional teams on card analytics.
- Understands and meets the needs of Cards stakeholders, including supporting with ad-hoc requests.
- Informs and updates leaders, team members and business partners on relevant information in a timely manner
Must have
- 3-5 years of experience in a consultative role focusing on data analysis. (8+ as a previous BA)
- Previous experience in the Credit Card business (Banking or credit card industry)
- Experience manipulating and synthesizing large volumes of complex information from multiple sources.
- Strong knowledge of data modeling and statistical analysis techniques.
- Experience working with multiple stakeholders.
- Experience working on an Agile team.
- SQL experience / SAS experience (build and run macros)
Nice to have
- Digital analytics experience (Adobe)