Analytics Engineer Jobs in Chicago, IL
Analytics Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, with strong demand across financial services, healthcare, and enterprise technology. Employers hiring right now include Huron Consulting, Mars, and Avant. Find a role that fits below and apply directly.
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Showing 5 of 18+ Analytics Engineer jobs
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will provide technical direction across a complex analytics portfolio, strengthen the team through developer mentorship, and advance a roadmap for trusted data, modern analytics, and continuous engineering improvement. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Lead design, development, optimization, and maintenance of complex, highly visible Tableau dashboards; guide architecture, performance, usability, and quality.
- Deliver and oversee embedded Tableau dashboards and both packaged (.twbx) and un-packaged (.twb) workbooks.
- Explore varied datasets for trends, outliers, and relationships; build interactive visualizations that let stakeholders drill into details and discover insights.
- Mentor developers through technical guidance, design and code reviews, standards, and collaborative problem-solving.
- Partner with technology teams, application owners, and data management teams on a continuous-improvement roadmap, including advanced analytics and cloud adoption.
- Lead data integration across warehouses, SQL and NoSQL databases, and APIs; use Python and automation to improve reliability and delivery.
- Promote effective GitHub Copilot use and practical AI-assisted development integration techniques within team workflows.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Define, develop, monitor, and report key management metrics that show the health and performance of a global operations program.
- Partner with senior leaders to advance analytics and deliver improvements in operational efficiency, cost modeling, capacity planning, quality, and related areas.
Define, design, and manage high-priority strategic initiatives with senior-level visibility, clear outcomes, governance, milestones, and delivery plans.
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Expert hands-on Tableau experience, including complex dashboard design, development, troubleshooting, performance tuning, and production support.
- Knowledge of analytical and BI tools, including Tableau and Qlik Sense and Grafana
- Project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools.
- Strong knowledge of data warehouses, data modeling, and connections to diverse databases, data types, and data structures.
- Extensive API experience, including designing, consuming, and troubleshooting REST APIs and BI platform integrations.
- Python experience in analytics, data processing, automation, or BI development; experience with GitHub Copilot and AI-assisted development integration techniques.
- Ability to lead a complex analytics portfolio and backlog, manage competing priorities, and deliver high-priority initiatives with measurable outcomes.
- Experience mentoring developers and partnering with senior leaders, business stakeholders, technology teams, application owners, and data management teams.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will provide technical direction across a complex analytics portfolio, strengthen the team through developer mentorship, and advance a roadmap for trusted data, modern analytics, and continuous engineering improvement. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
- Lead design, development, optimization, and maintenance of complex, highly visible Tableau dashboards; guide architecture, performance, usability, and quality.
- Deliver and oversee embedded Tableau dashboards and both packaged (.twbx) and un-packaged (.twb) workbooks.
- Explore varied datasets for trends, outliers, and relationships; build interactive visualizations that let stakeholders drill into details and discover insights.
- Mentor developers through technical guidance, design and code reviews, standards, and collaborative problem-solving.
- Partner with technology teams, application owners, and data management teams on a continuous-improvement roadmap, including advanced analytics and cloud adoption.
- Lead data integration across warehouses, SQL and NoSQL databases, and APIs; use Python and automation to improve reliability and delivery.
- Promote effective GitHub Copilot use and practical AI-assisted development integration techniques within team workflows.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Define, develop, monitor, and report key management metrics that show the health and performance of a global operations program.
- Partner with senior leaders to advance analytics and deliver improvements in operational efficiency, cost modeling, capacity planning, quality, and related areas.
Define, design, and manage high-priority strategic initiatives with senior-level visibility, clear outcomes, governance, milestones, and delivery plans.
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Expert hands-on Tableau experience, including complex dashboard design, development, troubleshooting, performance tuning, and production support.
- Knowledge of analytical and BI tools, including Tableau and Qlik Sense and Grafana
- Project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools.
- Strong knowledge of data warehouses, data modeling, and connections to diverse databases, data types, and data structures.
- Extensive API experience, including designing, consuming, and troubleshooting REST APIs and BI platform integrations.
- Python experience in analytics, data processing, automation, or BI development; experience with GitHub Copilot and AI-assisted development integration techniques.
- Ability to lead a complex analytics portfolio and backlog, manage competing priorities, and deliver high-priority initiatives with measurable outcomes.
- Experience mentoring developers and partnering with senior leaders, business stakeholders, technology teams, application owners, and data management teams.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 18 Analytics Engineer Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Job Market in Chicago
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
Analytics Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a analytics engineer job in Chicago?
Focus your search on the Loop's financial services firms, Fulton Market's tech companies, and the healthcare systems anchored in the Medical District and Streeterville. Candidates who stand out in Chicago typically combine dbt and Snowflake proficiency with experience in regulated data environments. Networking through Chicago data meetups and the local Tableau and dbt community chapters also gives you a practical edge over remote applicants.
Which companies hire analytics engineers in Chicago?
Employers hiring analytics engineers in Chicago right now include Huron Consulting, Mars, and Avant, based on current listings on Migrate Mate as of November 2026. Chicago's mix of legacy financial institutions, fast-growing fintech startups, and large health systems means demand comes from a wider range of employer types than in most other Midwest cities.
Are there remote analytics engineer jobs in Chicago?
Yes, analytics engineering is well-suited to remote and hybrid arrangements because the work is desk-based and tool-driven rather than tied to physical operations. About 85% of analytics engineer openings tied to Chicago are remote or hybrid as of November 2026, reflecting broad adoption across the city's tech and finance sectors. Pipeline development and data modeling tasks are the most commonly performed remotely, while stakeholder sessions often bring engineers into the office.
How can I get a analytics engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is a junior data analyst or BI developer role at one of the city's mid-size fintech or healthtech companies, which tend to promote internal transitions into analytics engineering once you've demonstrated SQL and pipeline skills. Building a public portfolio on GitHub using Chicago open data sets is a concrete differentiator that local hiring managers notice. Bootcamp programs at institutions like DePaul University and the University of Chicago's continuing education division also feed directly into Chicago employer pipelines.
Which industries hire the most analytics engineers in Chicago?
Chicago analytics engineer roles concentrate in Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. Chicago's position as a national hub for commodities trading, insurance, and hospital networks creates unusually broad and consistent demand for analytics engineers who can work with complex, high-volume data across regulated industries.
See All 18 Analytics Engineer Jobs in Chicago
Find roles in Chicago that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs