Analytics Engineer Jobs in Illinois
Analytics Engineer jobs in Illinois are in strong demand, with active hiring concentrated in financial services, healthcare technology, and enterprise software sectors at levels from entry-level data roles through senior and staff engineers. Chicago anchors the market and draws the largest share of openings, with Downers Grove and Naperville hosting significant suburban hubs where employers like Allstate, Walgreens, and Morningstar maintain established analytics teams. The most consistently sought specialties in Illinois are dbt and Snowflake pipeline development, healthcare data modeling, and financial data infrastructure. 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 Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Illinois
Where Illinois roles are concentrated, by current openings.
Analytics Engineer Job Market in Illinois
A snapshot from current Illinois openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Illinois Employers Look For
The qualifications that appear most often in analytics engineer jobs across Illinois.
- Bachelor's degree in computer science, statistics, mathematics, or a related quantitative field
- Proficiency in SQL for data modeling, transformation, and pipeline development
- Experience with dbt, Snowflake, BigQuery, or comparable modern data stack tools
- Ability to work cross-functionally with data scientists, analysts, and engineering teams
- Familiarity with Python or another scripting language for data pipeline automation
- Experience with version control systems such as Git in a collaborative team environment
Analytics Engineer Jobs in Illinois: Frequently Asked Questions
How do you become a analytics engineer in Illinois?
Analytics engineering in Illinois has no state-issued license or board registration, so the path runs through education and demonstrated technical skill. Most Illinois employers expect a bachelor's degree in computer science, statistics, or a related field, though strong candidates also come from data analyst or software engineer backgrounds. Building a portfolio with dbt projects, Snowflake data models, or documented pipeline work is the most direct way to meet Illinois hiring standards.
How much do analytics engineers make in Illinois?
Analytics engineers in Illinois earn a median of about $106,560 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $68,810 for the lowest 10% to over $168,880 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Illinois?
Employers hiring analytics engineers in Illinois right now include Huron Consulting, Mars, and Avant, based on current listings on Migrate Mate as of November 2026. Illinois's concentration of insurance carriers, health systems, and fintech firms means analytics engineer demand here tends to skew toward regulated-industry data infrastructure rather than pure consumer tech.
Which Illinois cities have the most analytics engineer jobs?
Chicago, Illinois, and Lisle lead Illinois for analytics engineer openings. Chicago dominates because it is home to the headquarters or major offices of large financial services firms, health technology companies, and enterprise software employers, while suburban markets like Downers Grove and Naperville reflect the analytics footprints of insurers and pharmaceutical companies based in the Chicago metro corridor.
Are there remote analytics engineer jobs in Illinois?
Yes, and more than most fields. About 85% of analytics engineer openings tied to Illinois are remote or hybrid as of November 2026, reflecting how thoroughly the work happens inside cloud-based data platforms. Pipeline development, data modeling, and dbt work are the parts of the role most consistently offered on a fully remote basis by Illinois employers.
How can I get hired as a analytics engineer in Illinois with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence analyst role, both of which are common stepping-stone titles at Illinois employers like Allstate, Walgreens, and large Chicago-area health systems. These employers occasionally run structured associate or rotational data programs for recent graduates. Building public dbt or SQL pipeline projects and completing a Snowflake or BigQuery certification gives Illinois candidates a concrete edge when applying without a direct analytics engineering title on their resume.
Where can I find and apply to analytics engineer jobs in Illinois?
You can find and apply to analytics engineer jobs in Illinois on Migrate Mate, which lists current openings tied to Illinois employers. Find the roles that fit your background and apply directly from the listing.
See All 18 Analytics Engineer Jobs in Illinois
Find roles in Illinois that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs