About the Role
The role requires managing multiple functional lines in Middle Market Banking business to support modeling, reporting and advanced analytics through multiple teams. The key requirement for the role is the ability to lead a team in understanding the business objectives, formulating the analytic solution and execute/ implement to deliver the solution. AVP should be able to provide thought leadership to guide the team as well as deliver hands- on work where needed. Should provide mentoring, coaching to team members and create positive work culture.
Responsibilities
- Providing business and technical leadership to develop analytics team delivering across multiple functions within MMB
- Responsible for maintaining partner relationships, ensuring high quality team deliverables and SLAs
- Working closely with the US partners on daily basis, interacting closely with multiple business partners anchor program managers
- Work independently, foster a culture of healthy and efficient working for the team
- Designing and solving complex business problems by analytical techniques and tools
- Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or advanced data visualization including development of Business Objects reports using multiple databases
- Recommends potential data sources; compiles and mines data from multiple, cross business sources.
- Works with typically very large data sets, both structured and unstructured, and from multiple sources
- Develops specific, customized reports, ad hoc analyses and/or data visualizations, formatted with business user-friendly techniques to drive adoption, such as (1) Excel macros/pivoting/filtering, (2) PowerPoint slides and presentations, and (3) clear verbal and e-mail communications
- Works with senior consultants or directly with partners, responsible for identifying and defining business requirements and translating business needs into moderately complex analyses and recommendations.
- Works with local and international colleagues and with internal customers, responsible for identifying and defining business requirements and catering to business needs for the team
- Ensures adherence to data management/data governance regulations and policies
- Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective
- Ability to work overlap hours with US team
- Shift 1:30-10:30 pm
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- 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 7+ years of reporting experience, analytics experience, or a combination of both; or a MS/MA degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis
- 7+ years of experience in one or more of the following: Modeling, Forecasting, Decision Trees as well as other statistical and performance analytics
- 7+ years of experience with SAS, SQL, or other data management, reporting, and query tools
- 7+ years of experience in developing and creating Power BI dashboards, working on end to end reports, deriving insights from data
- 7+ years of experience in CRM analytics (e.g. Salesforce.com) and database management expertise
- Excellent verbal, written, and interpersonal communication skill
- 7 years of experience in mentoring or training other team members.
- Extensive knowledge and understanding of research and analysis
- Strong analytical skills with high attention to detail and accuracy
- Collaborative, team-focused attitude
- 5+ years of experience in Customer/ Marketing / Sales / Pricing Analytics
- Experience with Python & Teradata/Oracle databases
30 Dec 2024
*Job posting may come down early due to volume of applicants.
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