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 ...
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 ...
New
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 ...
New
Clinical Data Scientist
Oak Brook, IL · On-site +1
$140K - $145K/yr
... Data Science. Required Work Skills/Experience * Pharma/Pharmacy/Healthcare experience. * Experience programming with SQL scripting. * Experience with data analytics visualization tools such as ...
Clinical Data Scientist
Oak Brook, IL · On-site +1
$140K - $145K/yr
... Data Science. Required Work Skills/Experience * Pharma/Pharmacy/Healthcare experience. * Experience programming with SQL scripting. * Experience with data analytics visualization tools such as ...
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 ...
Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field. * 0-2 years of experience ...
Quick apply
Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field. * 0-2 years of experience ...
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
Data Scientist
Chicago, IL · On-site
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
Data Scientist
Chicago, IL · On-site
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
Data Scientist
Chicago, IL · On-site
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
Data Scientist
Chicago, IL · On-site
Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...
New
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 30, 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:
Job description
The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.
The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.
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 dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented 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:
- 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 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 crossfunctional 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
- Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus