Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
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 ...
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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Data Analyst
Chicago, IL · Hybrid
$75K - $95K/yr
Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects * Participate in source control, deployment ...
Data Analyst
Chicago, IL · Hybrid
$75K - $95K/yr
Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects * Participate in source control, deployment ...
Data Analyst - Data Ops
Chicago, IL · On-site +1
$50K - $55K/yr
The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of ...
Data Analyst - Data Ops
Chicago, IL · On-site +1
$50K - $55K/yr
The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of ...
Data Analyst - Data Ops
Chicago, IL · Remote
The Data Analystis responsible fordelivering highlyvisible inbound and outbound EDIprojects for the ... Analytical Thinking * Collaboration * Communication * Customer Focus * Functional Expertise
Data Analyst - Data Ops
Chicago, IL · Remote
The Data Analystis responsible fordelivering highlyvisible inbound and outbound EDIprojects for the ... Analytical Thinking * Collaboration * Communication * Customer Focus * Functional Expertise
Analyst, Data
Oak Brook, IL · Hybrid
Sr. Data Analyst & Visualization DeveloperHybrid onsite 2-3 days per weekRole SummaryThis role will ... scientists in technical design and execution. In addition, this role will design, develop ...
New
Analyst, Data
Oak Brook, IL · Hybrid
Sr. Data Analyst & Visualization DeveloperHybrid onsite 2-3 days per weekRole SummaryThis role will ... scientists in technical design and execution. In addition, this role will design, develop ...
New
Analyst, Data
Oak Brook, IL · Hybrid
Sr. Data Analyst & Visualization DeveloperHybrid onsite 2-3 days per weekRole SummaryThis role will ... scientists in technical design and execution. In addition, this role will design, develop ...
New
Analyst, Data
Oak Brook, IL · Hybrid
Sr. Data Analyst & Visualization DeveloperHybrid onsite 2-3 days per weekRole SummaryThis role will ... scientists in technical design and execution. In addition, this role will design, develop ...
New
Data/Financial Analyst
Chicago, IL · On-site
Bachelor's Degree1-5 years of experience as a Data Analyst, Data Scientist or Financial Analyst focused on delivering data solutionsProficient with ExcelExperience with Power BI, Tableau, Python and ...
Data/Financial Analyst
Chicago, IL · On-site
Bachelor's Degree1-5 years of experience as a Data Analyst, Data Scientist or Financial Analyst focused on delivering data solutionsProficient with ExcelExperience with Power BI, Tableau, Python and ...
Data/Financial Analyst
Chicago, IL · On-site
Bachelor's Degree1-5 years of experience as a Data Analyst, Data Scientist or Financial Analyst focused on delivering data solutionsProficient with ExcelExperience with Power BI, Tableau, Python and ...
Data/Financial Analyst
Chicago, IL · On-site
Bachelor's Degree1-5 years of experience as a Data Analyst, Data Scientist or Financial Analyst focused on delivering data solutionsProficient with ExcelExperience with Power BI, Tableau, Python and ...
Data Scientist
East Saint Louis, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
East Saint Louis, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Columbia, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Columbia, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
East Carondelet, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
East Carondelet, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Madison, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Madison, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Dupo, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Dupo, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Mitchell, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Mitchell, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Analyst II
Chicago, IL · On-site
Required : • Bachelor's or Master's degree in Data Science, Social Science, Computer Science ... Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine ...
Data Analyst II
Chicago, IL · On-site
Required : • Bachelor's or Master's degree in Data Science, Social Science, Computer Science ... Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine ...
Data Scientist
Belleville, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Belleville, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Collinsville, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Collinsville, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Washington Park, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Scientist
Washington Park, IL · On-site
The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...
New
Data Analyst Data Science information
See Illinois salary details
$14.19 - $18.83
5% of jobs
$18.83 - $23.47
8% of jobs
$27.31 is the 25th percentile. Wages below this are outliers.
$23.47 - $28.12
14% of jobs
$28.12 - $32.76
16% of jobs
The median wage is $34.77 / hr.
$32.76 - $37.40
16% of jobs
$37.40 - $42.05
12% of jobs
$44.24 is the 75th percentile. Wages above this are outliers.
$42.05 - $46.69
9% of jobs
$46.69 - $51.33
7% of jobs
$51.33 - $55.98
5% of jobs
$55.98 - $60.62
4% of jobs
$60.62 - $65.26
3% of jobs
$14
$38
$65
How much do data analyst data science jobs pay per hour?
As of Aug 22, 2026, the average hourly pay for data analyst data science in Illinois is $38.04, according to ZipRecruiter salary data. Most workers in this role earn between $27.45 and $46.11 per hour, depending on experience, location, and employer.
What does a data analyst in data science do?
A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.
What are the key skills and qualifications needed to thrive as a data analyst in data science?
To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
How do data analysts in data science typically collaborate with other departments or teams?
Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.
What is the difference between Data Analyst Data Science vs Data Engineer?
| Aspect | Data Analyst Data Science | Data Engineer |
|---|---|---|
| Required Skills | Statistics, programming (Python, R), data visualization | Database systems, ETL pipelines, programming (Python, Java) |
| Work Environment | Analyzing data, building models, reporting | Building and maintaining data infrastructure |
| Certifications | Data Science certifications, SQL, Python | Cloud certifications, database management |
| Industry Usage | Business analysis, predictive modeling | Data infrastructure, big data systems |
Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.
What are popular job titles related to Data Analyst Data Science jobs in Illinois?
For Data Analyst Data Science jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Illinois look for?
The top searched job categories for Data Analyst Data Science jobs in Illinois are:
What cities in Illinois are hiring for Data Analyst Data Science jobs?
Cities in Illinois with the most Data Analyst Data Science job openings:
Full-time
Re-posted 13 days ago
Job description
Job Summary:
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
Responsibilities:
• Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs
• Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
• Execute high-impact, cross-functional data initiatives from requirements through delivery
• Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
• Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented data‑service analytics initiatives by ensuring consistent, well‑modeled, and well‑documented data
• Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
• Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
• Ensure data processes align with operational risk, audit, and regulatory expectations
• Participate in firm-wide initiatives such as system implementations and data integrations
• Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
• Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement
Qualifications:
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-intensive operations environment
• Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
• Advanced proficiency with SQL and Python
• Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
• Demonstrated ability to analyze data issues, identify root causes, and drive cross‑functional resolution
• Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
• Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
• Demonstrated proficiency with Agile methodology and project management practices
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: . Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
Responsibilities:
• Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs
• Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
• Execute high-impact, cross-functional data initiatives from requirements through delivery
• Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
• Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented data‑service analytics initiatives by ensuring consistent, well‑modeled, and well‑documented data
• Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
• Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
• Ensure data processes align with operational risk, audit, and regulatory expectations
• Participate in firm-wide initiatives such as system implementations and data integrations
• Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
• Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement
Qualifications:
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-intensive operations environment
• Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
• Advanced proficiency with SQL and Python
• Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
• Demonstrated ability to analyze data issues, identify root causes, and drive cross‑functional resolution
• Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
• Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
• Demonstrated proficiency with Agile methodology and project management practices
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: . Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.