Head of Consumer & SMB Data Analytics

Valley Bank • Morristown, NJ

5h

About The Position

Responsibilities include but are not limited to:
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.

Qualifications
Required Skills:
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.

Required Experience:
Bachelor's degree in a quantitative discipline, such as Data Science,
Mathematics, Business Analytics, Econometrics, Engineering, Sciences.
Minumum 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.

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

Requirements

• 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.
• Minumum 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.

Nice To Haves

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level