Description:
The Senior Manager, Payments Analytics will be a leading contributor in the Analytics & Decision Science team supporting Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviors and optimize business decisions related to product, payments and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.
How You’ll Succeed
- Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviors and business trends (both internal and external). Appropriately integrate of big data, business intelligence, visualization, self-service and analytical tools into engagements. Proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.
- Technology – Leverage right data/analytical tools to analyze structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
- Business Understanding - Working knowledge or prior experience in the Payments space (including but not limited to Credit Cards, Debit & Mobile wallets)
- Consultant – Be an analytics consultant – Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth
- Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
- Communication – Find the story in data and be flexible in communicating at varying levels of details for the right audience.
Who You Are
- You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
- You are proficient in programming languages and have experience using modern data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, , Alteryx, Tableau, Cognos).
- You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
- You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
- You have working knowledge of statistical techniques (i.e. Regression, Time-series analysis, Clustering, Decision trees, RFM, Demand forecasting).
- You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.
- You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
- You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
- Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
- Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.