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Bank Data Analytics Jobs in Chicago, IL (NOW HIRING)

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Conduct deep-dive analyses on banking products, client behavior, and performance trends. * Develop executive-ready presentations that translate data into strategic recommendations. * Technical ...

Manager, Data & Analytics

Chicago, IL ยท On-site

$74K - $138K/yr

Conduct deep-dive analyses on banking products, client behavior, and performance trends. * Develop executive-ready presentations that translate data into strategic recommendations. * Technical ...

Manager, Data & Analytics

Chicago, IL ยท Hybrid

$74K - $138K/yr

Conduct deep-dive analyses on banking products, client behavior, and performance trends. * Develop executive-ready presentations that translate data into strategic recommendations. * Technical ...

Bank is seeking an experienced Data & Analytics Product Lead to drive the strategy, roadmap, prioritization, and delivery of data and analytics products supporting key business segments. This role ...

Data Analytics Engineer

Chicago, IL ยท On-site

$114K - $194K/yr

... banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful ... Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ...

Data Analytics Engineer

Chicago, IL ยท On-site

$114K - $194K/yr

... banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful ... Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ...

Data Analytics Engineer

Chicago, IL ยท On-site

$114K - $194K/yr

... banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful ... Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI ...

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Showing results 1-20

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 Chicago, IL look for? The top searched job categories for Bank Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Bank Data Analytics jobs? Cities near Chicago, IL with the most Bank Data Analytics job openings:
Infographic showing various Bank Data Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Data & Analytics

Bank of Montreal

Chicago, IL โ€ข On-site

$74K - $138K/yr

Full-time

Medical, Life, Retirement

Re-posted 26 days ago


Job description

Application Deadline:
05/14/2220
Address:
320 S Canal Street
Job Family Group:
Data Analytics & Reporting
This is a hybrid role requiring 3-4 days in the Chicago or San Fran office
Key Responsibilities:
  • Insight Generation & Strategic Analysis
    • Partner with business leaders to identify opportunities and deliver impactful insights.
    • Conduct deep-dive analyses on banking products, client behavior, and performance trends.
    • Develop executive-ready presentations that translate data into strategic recommendations.
  • Technical Excellence
    • Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data.
    • Build scalable analytical solutions and automate recurring processes.
    • Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency.
  • Cross-Functional Collaboration
    • Work closely with product, finance, and strategy teams to align analytics with business priorities.
    • Serve as a thought partner to stakeholders, helping them interpret data and make informed decisions

We are seeking a highly analytical and business-savvy Manager, Data & Analytics to join our Data & Analytics team in our San Francisco or Chicago office. This role is ideal for someone who thrives at the intersection of data and strategy-someone who is passionate about uncovering insights that drive business decisions and has deep experience in banking products and client behavior.
You'll work closely with senior business leaders, translating complex data into clear, actionable insights that influence strategy across sales, pricing, profitability, and client engagement
  • 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:
  • Experience & Domain Knowledge
    • 5-7 years of experience in analytics, preferably within banking or financial services.
    • Strong understanding of banking products, client segmentation, and business strategy.
  • Technical Skills
    • Proficient in SQL and Python (or other programming languages with a willingness to learn Python).
    • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Communication & Influence
    • Ability to distill complex data into simple, compelling insights.
    • Comfortable presenting to senior stakeholders and influencing decisions.
  • Mindset
    • Curious, proactive, and impact-driven.
    • Strong problem-solving skills and a passion for continuous improvement

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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About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

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