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

Data Architect

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills 10-12+ years of Data Engineering/Data Architecture experience Banking & Financial Services domain Wealth Management, Asset ...

Oversee payout accounting and reconciliation across internal systems, processors, and bank data ... Partner internally with Treasury, FP&A, HR, Product, Engineering, and outside advisors (audit, tax ...

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

... 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 ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

Enable BI, reporting, and ML/Analytics use cases. Must-Have Skills * 10-12+ years of Data Engineering/Data Architecture experience * Banking & Financial Services domain * Wealth Management, Asset ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

... analytics/ML use cases. Required Skills * 10-12 years of experience in Data Engineering/Data Architecture, with significant experience in Banking & Financial Services. * Demonstrated experience in ...

Data Architect- Wealth Management

Naperville, IL ยท On-site

$63.75 - $82/hr

... analytics/ML use cases. Required Skills * 10-12 years of experience in Data Engineering/Data Architecture, with significant experience in Banking & Financial Services. * Demonstrated experience in ...

Showing results 41-60

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 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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Architect

Digital Links Inc

Naperville, IL โ€ข On-site

$63.75 - $82/hr

Contractor

Re-posted 20 days ago


Job description

Data Architect – Wealth Management
Location: Naperville, IL (Hybrid – Onsite Client Office)
Duration: 6+ Months Contract with a possibility of Extension
Job Summary
Join a collaborative Data & Analytics team building a modern cloud-native data platform on AWS. This hands-on Data Architect role will define the data architecture that powers Wealth Management analytics while partnering with engineers, analysts, and business stakeholders. You'll establish enterprise data standards, governance, and scalable AWS-based data solutions.
Key Responsibilities
Design end-to-end AWS data architecture for Wealth Management platforms.
Build and maintain data lakes, lakehouses, warehouses, and streaming pipelines.
Develop conceptual, logical, and physical data models.
Design models for clients, households, accounts, portfolios, holdings, transactions, and advisor relationships.
Establish enterprise standards for data ingestion, transformation, storage, and consumption.
Design regulatory reporting solutions (SEC, FINRA, Reg BI, SOX).
Lead Data Governance, Data Quality, Metadata, Cataloging, and MDM initiatives.
Implement secure architecture with encryption, IAM, KMS, and PII/PCI compliance.
Guide engineering teams and review technical designs.
Evaluate AWS services based on scalability, performance, and cost.
Support batch and real-time integrations with portfolio, CRM, custody, and market data systems.
Enable BI, reporting, and ML/Analytics use cases.
Must-Have Skills
10–12+ years of Data Engineering/Data Architecture experience
Banking & Financial Services domain
Wealth Management, Asset Management, Private Banking, or Brokerage experience
AWS Data Platform Architecture
Data Modeling (Dimensional, Data Vault, 3NF)
Data Lake/Lakehouse & Data Warehouse Architecture
ETL/ELT Design
Data Governance, Metadata, Data Quality & Lineage
Advanced SQL & Python
Infrastructure as Code (Terraform/CloudFormation)
AWS Technologies
Storage & Analytics: S3, Redshift, EMR, Athena, Glue, Lake Formation
Lakehouse: Parquet, Iceberg, Delta Lake
Streaming: Kinesis, MSK (Kafka)
Serverless: Lambda, Step Functions, MWAA (Airflow)
Databases: RDS, Aurora, DynamoDB
Security: IAM, KMS, Encryption
BI Tools
QuickSight
Tableau
Power BI
Nice-to-Have
AWS Certifications
TOGAF
Collibra or Alation
Bloomberg or Refinitiv
Portfolio Accounting Systems
Machine Learning / Advanced Analytics
Data Mesh Architecture
Wealth Management Regulatory Reporting Experience