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

Credit Analyst II

Fairport, NY ยท On-site

$30.59 - $40.76/hr

... Banking are a plus. Skills and Abilities: * Strong working knowledge and understanding of traditional financial analysis with the ability to interpret data while researching, analyzing and drawing ...

Fraud Risk Analyst I

Rochester, NY ยท On-site

$24 - $28/hr

... the Bank and its customers from potential losses. The Fraud Analyst will utilize Q2 Sentinel ... Tracks and maintains departmental spreadsheets reflecting reported fraud risk and trend data for ...

Home Lending Loan Underwriter

Fairport, NY ยท On-site

$27.18 - $36.25/hr

... ensuring bank, policy, program, investor and insurer guidelines are adhered to. Assures the ... Proficient in analyzing self-employed borrowers * Strong mathematical skills Unique Job ...

Possess analytical ability to interpret and utilize data to make appropriate recommendations ... existing banking software applications Physical Requirements : * Able to regularly sit for ...

... and analyze information regarding their income, assets, debts and credit data as well as their ... Markets, services and promotes the bank's mortgage products. This includes the solicitation of ...

... and analyze information regarding their income, assets, debts and credit data as well as their ... Markets, services and promotes the bank's mortgage products. This includes the solicitation of ...

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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 does a data analyst do at a bank?

A data analyst at a bank collects, processes, and analyzes financial data to identify trends, support decision-making, and improve operational efficiency. They often use tools like Excel, SQL, and data visualization software, and must have strong analytical skills and understanding of banking operations.

What is data analytics in banking?

Data analytics in banking involves examining large sets of financial data to identify patterns, trends, and insights that support decision-making, risk management, and customer service. Bank data analysts use tools like SQL, Excel, and data visualization software to interpret data and improve operational efficiency and compliance.

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.

Can a data analyst work in banks?

Yes, data analysts can work in banks, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial concepts.

What is the salary of data analyst in JP Morgan?

A data analyst at JP Morgan typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes bonuses and benefits aligned with industry standards for financial institutions.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
jr backend java spring boot developer/Data analyst

jr backend java spring boot developer/Data analyst

SynergisticIT

Rochester, NY โ€ข On-site

$49.75 - $64.75/hr

Other

Posted 25 days ago


Job description

300+ Leetcode Problems! -Still No Offers? Let's Get You Offers with SynergisticIT.
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Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit's JOPP focuses on closing the gap between your tech skills and what employers want now.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Wage-Based H-1B Filing
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Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT
Is AI Going to Replace Software Programmers? | SynergisticIT
The Market's Changed-Have You?