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Bank Data Analytics Jobs in Illinois (NOW HIRING)

Unchain Data

Compliance Senior Data Analyst

Chicago, IL · On-site

$125 - $150/hr

They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data ... Exposure to financial services, with a focus in regulatory and/or tax reporting within the banking ...

US Bank

Data Scientist

Chicago, IL · On-site

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Perform data exploration, analysis, and querying to identify meaningful trends, patterns ...

1 point system

Data Analyst

Chicago, IL · On-site

... the Bank's technology metrics portfolio * Develop and maintain automated processes for data ... Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as ...

US Bank

Senior Data Scientist

Chicago, IL

$132K - $155K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Responsible for big data/analytics projects that gather and integrate large volumes of data.

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Bank Data Analytics information

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.

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 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 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 does a bank data analyst do for a bank?

A bank data analyst collects, processes, and analyzes financial data to identify trends, improve decision-making, and support risk management. They use tools like SQL, Excel, and data visualization software to interpret large datasets and provide insights to enhance banking operations and compliance.

What are popular job titles related to Bank Data Analytics jobs in Illinois?

For Bank Data Analytics jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Bank Data Analytics jobs in Illinois look for?

The top searched job categories for Bank Data Analytics jobs in Illinois are:

What cities in Illinois are hiring for Bank Data Analytics jobs?

Cities in Illinois with the most Bank Data Analytics job openings:

Bank Data Analytics jobs near you
Infographic showing various Bank Data Analytics job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manager, Customer Insights & Reporting

BMO Financial

Chicago, IL • On-site

Other

Medical, Life, Retirement

Posted 6 days ago

Job description

Application Deadline:

09/10/2026

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

This is a hybrid role in Chicago

Key Responsibilities

Hands‑On Analytics & Data Preparation

  • Independently extract, transform, and analyze data using Python, SQL, and SAS.
  • Perform data quality checks, reconciliation, and validation to ensure analytical accuracy.
  • Analyze customer, product, and performance data across multiple US Banking segments.
  • Apply sound analytical techniques to identify trends, drivers, and anomalies in the data.

Reporting & Executive Communication

  • Translate analytical outputs into clear, concise business insights.
  • Develop and maintain:
    • Power BI dashboards and visual reports
    • Excel models and ad‑hoc analysis
    • PowerPoint decks for executive and senior management audiences
  • Ensure reporting is decision‑oriented, clearly explaining what the data is telling us and why it matters.

Business Problem Solving

  • Partner with business stakeholders to clarify and interpret open‑ended analytical questions.
  • Determine appropriate analytical approaches when requirements are not fully defined.
  • Provide insight and context rather than simply producing metrics or standard reports.
  • Support multiple lines of business simultaneously while managing competing priorities.

Banking & Domain Knowledge Application

  • Apply working knowledge of:
    • Banking products and customer lifecycles
    • Customer acquisition, engagement, and attrition
    • Key customer and performance metrics
  • Ensure insights reflect real‑world banking dynamics and business context.

Team Contribution & Ways of Working

  • Operate effectively as a senior individual contributor with minimal day‑to‑day oversight.
  • Contribute to consistent reporting standards and analytics best practices.
  • Support knowledge sharing and collaboration within a growing analytics team.

The Manager, Customer Insights & Executive Reporting (G7) is a senior individual contributor responsible for delivering high‑quality customer analytics and executive reporting across US Banking, including Personal Banking, Business Banking, Commercial Banking, and Wealth Management.

This role is hands‑on and execution‑focused, owning the end‑to‑end analytics and reporting process—from data extraction and analysis through to executive‑ready insights and presentations. The successful candidate will work independently, using Python, SQL, and SAS to analyze complex banking data and translate findings into Power BI dashboards, Excel analyses, and PowerPoint materials used by senior leaders.

The role requires strong banking domain knowledge, analytical judgment, and the ability to interpret open‑ended business questions, going beyond descriptive reporting to deliver clear insights and implications for the business.

As a rapidly growing team with a broad US Banking mandate, this role plays a critical part in supporting decision‑making and strengthening how customer data is used across lines of business.

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

  • 5–7+ years of experience in analytics, insights, or reporting roles, preferably within banking or financial services.
  • Strong, hands‑on experience with:
  • Python
  • SQL
  • SAS
  • Experience producing business insights through:
  • Power BI
  • Excel
  • PowerPoint, particularly for senior or executive audiences
  • Demonstrated ability to work independently on complex analytical tasks.
  • Strong written and verbal communication skills.

Preferred Qualifications

  • Experience supporting multiple banking lines of business.
  • Familiarity with customer analytics concepts (e.g., segmentation, customer growth, retention, engagement).
  • Comfort working in a fast‑paced, evolving environment with changing business questions.
  • Ability to explain complex analysis clearly to non‑technical stakeholders..

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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