Head of Consumer & SMB Data Analytics

Responsibilities

• Enable strategic objectives for the Retail and Consumer segment, with new internal and external data sources, tracking key metrics and development of hypotheses.
• Translate analysis findings and technical topics, visualize data to explain results to a business audience and to senior management.
• Conduct thorough data analysis to identify trends, patterns, and insights that inform business strategies.
• Lead the development of predictive models and machine learning algorithms to forecast business outcomes and customer behavior.
• Partner with Retail team to increase effectiveness and efficiency through a holistic view of consumer relationships, performance scorecards for sales/service effectiveness and geo-spatial insights for branch strategy.
• Stay current with industry trends and explore the use of AI, new analytics tools, and methodologies.
• Drive a strong data-driven culture within the company by mentoring data analysts, increasing data capabilities in other internal functions and building data literacy across business teams.
• Build and lead a team of high-performing business analysts; develop talent to increase data capabilities and financial acumen across the bank.

• Hands-on experience in translating business objectives into data needs and building metrics to inform strategy.
• Strong communication, organizational and interpersonal skills, as well as the ability to prioritize and execute on multiple objectives.
• Proven ability to influence and partner at the senior leadership level.
• Prior experience working with client-facing teams such as Retail, consumer lending, and variety of internal functions such as finance, digital, marketing preferably in financial services and/or highly regulated industry.
• Hands-on experience in data modelling, data engineering and data analysis tools such as BI tools, Power BI, SQL, Python.
• Strong understanding of machine learning principles and statistical analysis techniques.
• Demonstrated ability to build and motivate high performing teams towards high levels of excellence and standards.
• Superior presentation and storytelling skills, customer focus and ability to work in diverse, cross functional team environment.
• Collaborative approach and ability to partner effectively with business, data, and technology teams.

• Bachelor's degree in a quantitative discipline, such as Data Science, Mathematics, Business Analytics, Econometrics, Engineering, Sciences.
• Minimum of 7 years working in a data/analytics or business analysis role with hands-on experience in wrangling large data sets, conducting data analysis and developing insights from data.
• Experience building and/or managing a team.
• Hands on experience using machine learning or advanced statistical techniques to solve complex business problems.
• Demonstrated record of influencing others through consensus building in a cross functional environment.

• Master's degree in a quantitative discipline.
• Financial Services experience and knowledge of Retail / Commercial Banking industry, products, and data highly desired