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Data Analyst Engineer Jobs in Illinois (NOW HIRING)

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field • 7-10 years of experience in investment management, financial services, or a data ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

Summary The Data Analyst II will support implementation, administration, configuration, and ... Utilizes Application Programming Interfaces (APIs) to interact with and manipulate multiple systems ...

Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field * 5+ years of experience in investment management, financial services, or a data-intensive operations ...

The role involves programming and maintaining dashboards, supporting analytics projects, and ... Enterprise Data Warehouse, Tableau. • Assists with development of plans, materials, and ...

Work closely with data engineering teams, integration teams, and business stakeholders. * Support testing of ETL pipelines and API/file-based integrations. * Issue Analysis & Production Support:

New

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

Advanced programming skills in Python for data manipulation * Data Sources: Proven track record of developing code to extract, transform, and load data from ERP, Billing, CRM, and core business ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or ... Experience in developing functional specifications for business process refinement, re-engineering ...

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

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Showing results 1-20

Data Analyst Engineer information

See Illinois salary details

$32.9K

$80.1K

$131.8K

How much do data analyst engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data analyst engineer in Illinois is $80,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

How do Data Analyst Engineers typically collaborate with other teams to deliver insights?

Data Analyst Engineers often work closely with cross-functional teams such as product managers, software engineers, and business stakeholders. They gather requirements, interpret business needs, and translate them into technical data solutions. Effective communication and regular meetings are key, as Data Analyst Engineers must ensure their analyses align with team objectives and that data-driven insights are actionable. This collaborative environment not only enhances project outcomes but also provides valuable exposure to different perspectives and business strategies.

What is the difference between Data Analyst Engineer vs Data Engineer?

AspectData Analyst Engineer
Primary FocusCombines data analysis with engineering tasks to prepare and analyze data for insights
Skills & CertificationsData analysis, SQL, Python, data visualization, some data engineering tools
Work EnvironmentCollaborates with data teams, business units, often in analytics or product teams
Tools & TechnologiesSQL, Python, R, BI tools, ETL pipelines

While Data Analyst Engineers focus on analyzing and preparing data for insights, Data Engineers primarily build and maintain data infrastructure. Data Analyst Engineers bridge analysis and engineering, making them versatile for data-driven decision-making.

What is a Data Analyst Engineer?

A Data Analyst Engineer is a professional who combines the skills of data analysis and data engineering to collect, process, and analyze large datasets. They design and maintain data pipelines, ensure data quality, and use analytical tools to extract actionable insights from data. Their work supports business decision-making by providing clear, data-driven recommendations. Data Analyst Engineers often collaborate with data scientists, software engineers, and business stakeholders to optimize data workflows and reporting.

What are the key skills and qualifications needed to thrive as a Data Analyst Engineer, and why are they important?

To thrive as a Data Analyst Engineer, you need a solid background in statistics, data modeling, and programming languages such as Python or SQL, often backed by a degree in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), database management systems, and certifications such as Microsoft Certified: Data Analyst Associate are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills ensure accurate data analysis, impactful reporting, and alignment with business objectives.
Infographic showing various Data Analyst Engineer job openings in Illinois as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,080 per year, or $38.5 per hour.

Full-time

Re-posted 11 days ago


Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus