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Data Analyst Jobs in Bolingbrook, IL (NOW HIRING)

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 ...

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Data Analyst II

Chicago, IL ยท On-site

$71.20 - $124.50/hr

## Data Analyst IIApplylocations: Chicago, ILtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR-1065035Shirley Ryan AbilityLab is the global leader in physical medicine and ...

Compliance Senior Data Analyst

Chicago, IL ยท On-site

$110 - $160/hr

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical reasoning skills, and the ability to use Python, APIs, or similar tools to automate data workflows. This ...

Data Analyst Lead

Chicago, IL ยท On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Data Analyst Lead

Chicago, IL ยท On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Data Analyst Lead

Chicago, IL ยท On-site

$65K - $95K/yr

As a Data Analyst Lead you will think strategically and apply your skills in project management, business analysis, data visualization, change management, troubleshooting and training to implement ...

Summary The Data Analyst II will support implementation, administration, configuration, and deployment of analytic information systems, products, and services. Participates in projects of varying ...

Data Analyst, HMIS

Chicago, IL ยท On-site

$51 - $70/hr

Data Analyst, HMIS REPORTS TO: Director of Information Services STATUS: Exempt, full-time, salary LOCATION: Chicago, Illinois, (Hybrid/remote schedule) SALARY RANGE: $51,261 - $69,836 (commensurate ...

New

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 ...

Senior Data Analyst

Chicago, IL ยท On-site

$76K - $100K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager ...

Sales Data Analyst - CPG Retail Analytics (Walmart / National Accounts) Location: Remote A growing food manufacturing company is seeking a Sales Data Analyst to support its North American retail ...

Senior Data Analyst

Chicago, IL ยท On-site

$88K - $111K/yr

The Senior Data Analyst plays a crucial role in supporting data-driven decision-making at Chicago Public Schools (CPS) by transforming raw data into actionable insights. Reporting to the Manager ...

Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting applications for future Financial Data Analyst openings in the Chicago, IL (Southwest) area. At ...

Showing results 41-60

Data Analyst information

See Bolingbrook, IL salary details

$33.6K

$81.7K

$134.5K

How much do data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst in Bolingbrook, IL is $81,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Bolingbrook, IL?

The most popular types of Data Analyst jobs in Bolingbrook, IL are:

What job categories do people searching Data Analyst jobs in Bolingbrook, IL look for?

The top searched job categories for Data Analyst jobs in Bolingbrook, IL are:

What cities near Bolingbrook, IL are hiring for Data Analyst jobs?

Cities near Bolingbrook, IL with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Bolingbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,718 per year, or $39.3 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL โ€ข On-site

Full-time

Re-posted 26 days ago


Key responsibilities

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs

  • Design, develop, and maintain data, reporting, and workflow automation solutions

  • Execute cross-functional data initiatives from requirements through delivery


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 ensureย accuracy, reliability, and scalability of data and reporting outputsย 
  • 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 improvementย 

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 proficiencyย 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