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Bank Data Analytics Jobs in Rochester, NY (NOW HIRING)

This position is expected to have strong accounting expertise and the ability to analyze data and independently problem solve. ESSENTIAL FUNCTIONS: * Oversee the bank's accounting operations ...

Accounting Analyst

Rochester, NY · On-site

$75K - $90K/yr

This position is expected to have strong accounting expertise and the ability to analyze data and independently problem solve. ESSENTIAL FUNCTIONS: * Oversee the bank's accounting operations ...

Identify opportunities to improve reporting processes, data model accuracy, and overall analytics ... banking and financial, secondary education, colleges and universities, and local and state ...

New

BSA/AML Alert Analyst

Rochester, NY · On-site

$24 - $27/hr

Banking * Auditing * Criminal Justice * Investigations -OR- Required: * Education: Associate Degree ... Ability to identify trends, interpret data and apply to workflows, compliance techniques and ...

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Bank Data Analytics information

How does a bank data analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a bank data analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.
What job categories do people searching Bank Data Analytics jobs in Rochester, NY look for? The top searched job categories for Bank Data Analytics jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Bank Data Analytics jobs? Cities near Rochester, NY with the most Bank Data Analytics job openings:
Infographic showing various Bank Data Analytics job openings in Rochester, NY as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution.

VP Client Partner - Commercial Banking - NYC

EXL

Farmington, NY • On-site

$136K - $175K/yr

Other

Re-posted 4 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

129th of 481 rated business services


Job description

Consulting -Sr. Consulting Client Partner

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes, and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations across industries including insurance, healthcare, banking and financial services, media, and retail. Founded in 1999 and headquartered in New York, EXL operates across six continents with over 65,000 employees globally, delivering data, AI, and digital transformation solutions to enterprises worldwide.

Role Overview

EXL is seeking a senior Commercial Banking professional to accelerate growth within its strategic banking accounts. This role will be responsible for establishing and expanding relationships with Commercial Banking leaders at large U.S. banks where EXL has an established presence and is looking to expand in Commercial Banking area.

The individual will leverage deep industry expertise and executive relationships to identify opportunities across Commercial Banking, Commercial Lending, Treasury Management, Credit Risk, and Operations. Working closely with account teams, solution leaders, and delivery teams, the role will help position EXL's Data, Analytics, AI, and Operations capabilities to address key Commercial Banking priorities and drive incremental revenue growth.

This is a highly consultative, relationship-driven role focused on executive engagement, opportunity creation, account expansion, and long-term client partnership development.

Responsibilities

Commercial Banking Account Expansion

  • Develop and execute Commercial Banking growth plans within existing strategic banking accounts.
  • Establish relationships with Commercial Banking business leaders and key decision-makers.
  • Identify whitespace opportunities across Commercial Banking, Commercial Lending, Treasury Management, Risk, and Operations.
  • Partner with existing account teams to expand EXL's footprint and increase wallet share.

Executive Relationship Development

  • Build trusted advisor relationships with Commercial Banking executives and business leaders.
  • Leverage industry network and market knowledge to create access to new buying centers.
  • Facilitate executive conversations around growth, risk, efficiency, and transformation priorities.

Opportunity Origination & Solution Shaping

  • Identify and qualify opportunities aligned to Commercial Banking priorities.
  • Shape client conversations around data, analytics, AI, and operational transformation.
  • Partner with EXL domain and solution teams to develop compelling business cases and proposals.
  • Support opportunity pursuits through executive presentations, workshops, and strategic account planning.

Market Leadership

  • Maintain deep understanding of Commercial Banking trends, competitive dynamics, and emerging technologies.
  • Provide market intelligence and thought leadership to clients and internal stakeholders.
  • Represent EXL at industry forums, client events, and executive briefings.
Qualifications
  • 10+ years of experience in Commercial Banking, banking consulting, financial services consulting, or banking technology/services.
  • Deep expertise in Commercial Banking, including Commercial Lending, Treasury Management, Credit Risk, Client Coverage, and Banking Operations.
  • Strong relationships with senior Commercial Banking executives across large U.S. banks.
  • Proven success in opening new buying centers and expanding business within existing client accounts.
  • Experience influencing and selling to senior business stakeholders.
  • Strong understanding of data, analytics, AI, and technology-led transformation in banking.
  • Exceptional executive presence and relationship-building skills.

Bachelor's degree required. MBA or advanced degree preferred. Based in the New York metropolitan area. Willingness to travel as required.

Required Skills
  • Data analytic

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