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

Compliance Senior Data Analyst

Chicago, IL ยท On-site

$110 - $160/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 ...

... 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 ...

U.S. Bank is seeking an experienced Data Product Owner to drive the strategy, roadmap ... Collaborate with data engineering, architecture, analytics, and governance teams to design and ...

Data Product Owner

Chicago, IL ยท On-site

$120 - $141/hr

U.S. Bank is seeking an experienced Data Product Owner to drive the strategy, roadmap ... Collaborate with data engineering, architecture, analytics, and governance teams to design and ...

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 ...

Showing results 21-40

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.

Compliance Senior Data Analyst

Unchain Data

Chicago, IL โ€ข On-site

$110 - $160/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 13 days ago


Job description

Weโ€™re looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This role contributes to the Global Regulatory Reporting team, which is responsible for meeting our global licensing and tax reporting obligations. In this role, youโ€™ll develop a strong understanding of Crypto.comโ€™s products and data flows to support timely and accurate regulatory reporting.

This is a hands-on position suited to someone who is comfortable working independently through complex data problems, communicates clearly, and collaborates effectively across teams and time zones. They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to integrate with thirdโ€‘party platforms is a strong plus.

Key Responsibilities
  • Support implementation and ongoing execution of CARF and Form 1099-DA reporting requirements, including data extraction, transformation, validation, reconciliation, and reporting.

  • Develop and maintain SQL queries and data workflows required to identify reportable users, transactions, digital assets, proceeds, cost basis, and other required reporting data elements.

  • Perform data analysis and validation to assess the accuracy, completeness, and consistency of CARF and 1099-DA reporting populations and outputs.

  • Support development and execution of data quality controls and reconciliations, including investigation and remediation of exceptions.

  • Partner with Compliance, Tax, Finance, Product, Engineering, and other stakeholders to translate CARF and 1099-DA requirements into data and system requirements.

  • Support CARF jurisdictional implementation, including identification and tracking of reporting requirements, data specifications, deadlines, and implementation dependencies across applicable jurisdictions.

  • Support 1099-DA reporting processes, including customer data, transaction reporting, cost-basis information, corrections, and downstream reporting requirements.

  • Track implementation activities, dependencies, defects, and remediation through Jira, providing clear status reporting and escalation of risks or blockers.

  • Document data lineage, reporting logic, controls, procedures, and workflows to establish repeatable and auditable reporting processes.

  • Identify opportunities to automate and scale data preparation, validation, reconciliation, and reporting processes.

  • Support testing of new reporting functionality and system changes, including requirements validation, UAT, and production output validation.

  • Support regulatory examinations, audits, and internal inquiries.

  • Other duties as assigned.

Requirements & Qualifications
  • Strong ability to write efficient SQL queries across large datasets, with attention to performance and data accuracy;

  • Experience using Python or similar languages for data processing or automation;

  • Ability to apply a strategic and structured approach to problem solving;

  • Highly organized, with strong attention to detail;

  • Exposure to cross-functional projects and intercompany initiatives, with occasional need to collaborate outside regular hours to accommodate colleagues in different time zones;

  • Exposure to financial services, with a focus in regulatory and/or tax reporting within the banking or fintech industry a plus;

  • Understanding of cryptocurrencies or a strong interest in learning.

Life @ Crypto.com

Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions.Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.Work Flexibility Adoption. Flexi-work hour and hybrid set-upAspire career alternatives through us - our internal mobility program offers employees a new scope.

Benefits
  • Competitive salary
  • Attractive annual leave entitlement including: birthday, work anniversary401(k) plan with employer matchEligible for company-sponsored group health, dental, vision, and life/disability insuranceWork Flexibility Adoption. Flexi-work hour and hybrid set-upAspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
  • Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
About Crypto.com:

Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Walletโ„ข. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.

Learn more at https://crypto.com. Crypto.comis an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.comvalues diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only. Please note that only shortlisted candidates will be contacted.

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