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Data Analyst Data Analyst Jobs in Addison, IL (NOW HIRING)

Harris Associates

Data Analyst, Data Ops

Chicago, IL

The Data Analyst, Data Opsis responsible forensuring theaccurate,timelyand reliable delivery of data and analytics solutions to supportprocess efficiency and data-centric decision making. This role ...

PeopleCaddie

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Senior Data Analyst / Data Modeler - Contract Client: Large Public Accounting Firm Engagement: 6+ Month Contract Work Model: Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data ...

Milliman

Data Analyst (Data Governance)

Chicago, IL · Remote

$78.80K - $145.13K/yr

Profile data and analyze source systems and data structures to assess content, quality, and structure, supporting accurate mapping and migration processes of master data and data hub models.

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

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 ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

They are seeking a Data Analyst for their Data Ops team, responsible for delivering scalable data and reporting solutions to enhance decision-making across the firm. This role involves partnering ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

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 ...

Milliman

Data Analyst (Data Governance)

Chicago, IL · On-site

$78.80K - $145.13K/yr

Profile data and analyze source systems and data structures to assess content, quality, and structure, supporting accurate mapping and migration processes of master data and data hub models.

Milliman

Data Analyst (Data Governance)

Chicago, IL · Remote

$78.80K - $145.13K/yr

Profile data and analyze source systems and data structures to assess content, quality, and structure, supporting accurate mapping and migration processes of master data and data hub models.

Bausch-White Masonry

Data Analyst

Chicago, IL · On-site

About the job Data Analyst , 40 hours per weekPosition: Data AnalystCompany Overview:Bausch-White Masonry, LLC is a leading construction company specializing in masonry work for commercial and ...

ShiftCode Analytics

Data Analyst

Chicago, IL · Hybrid

Data Analysis and Interpretation: Collect, analyze, and interpret data to identify trends and patterns affecting our Ads Taxonomy table. Translate data findings into actionable insights and ...

Kasmo Global

Data Analyst

Northbrook, IL · On-site

Data Analyst Duration: Contract-to-Hire (C2H) We are seeking a highly analytical and detail-oriented Data Analyst to join our team in Northbrook, IL. This role is 100% onsite and is a contract-to ...

VIVA USA INC

Data Analyst

Chicago, IL · On-site +1

$39.43 - $44.43/hr

A data analyst is a highly trained individual that specializes in collecting, organizing, and analyzing data from various resources Primary tasks of this position are compilation and analysis of data ...

Ask IT consulting

Data Analyst

Chicago, IL

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or Chicago, IL * Data Warehouse Experience 5 to 7 years * SQL used in a technical setting minimum 5 years

Apex Informatics

Data Analyst

Chicago, IL · On-site

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 ...

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

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 ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Inspire11

Data Analyst

Chicago, IL · On-site +1

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Inspire11

Data Analyst

Chicago, IL · On-site

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Integrated Project Management

Data Analyst

Burr Ridge, IL · Hybrid

$65K - $75K/yr

The Data Analyst will further enable data-driven decision making across the organization. This role will support defining, developing, and implementing the integration of business data, which comes ...

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All JobsData Analyst Data Analyst JobsData Analyst Data Analyst Jobs in Addison, IL

Data Analyst Data Analyst information

See Addison, IL salary details

$34.1K

$82.8K

$136.3K

How much do data analyst data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst data analyst in Addison, IL is $82,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 per year, depending on experience, location, and employer.

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 and programming languages like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication skills help you interpret data and present actionable insights clearly to stakeholders. These skills and qualities are crucial for transforming raw data into meaningful information that supports better business decisions.

What are some common challenges Data Analysts face when working with cross-functional teams?

Data Analysts often collaborate with stakeholders from various departments, such as marketing, finance, and product. One common challenge is translating complex data findings into actionable insights that are easily understood by non-technical team members. Additionally, aligning on business objectives and ensuring data accuracy across different sources can require strong communication and problem-solving skills. Building relationships and being proactive in clarifying requirements can help Data Analysts navigate these challenges and deliver valuable results.

What is a Data Analyst?

A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use statistical techniques and software tools to interpret complex data sets, identify trends, and generate actionable insights. Data Analysts often create reports, visualizations, and dashboards to communicate their findings to stakeholders. Their work supports strategic planning, problem-solving, and performance improvement across various industries.

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

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, math, or related field; certifications like Microsoft Excel, SQLBachelor's or master's in computer science, statistics, or related; certifications in machine learning, Python, R
Work EnvironmentBusiness, finance, marketing teams; data reporting and visualizationResearch, development teams; predictive modeling and advanced analytics
Employer & Industry UsageWidely used across industries for data reportingMore common in tech, finance, and research sectors for complex data analysis

While both roles analyze data, Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop predictive models and advanced algorithms. The roles often overlap but differ in complexity and technical skills required.

What are popular job titles related to Data Analyst Data Analyst jobs in Addison, IL? For Data Analyst Data Analyst jobs in Addison, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Analyst jobs in Addison, IL look for? The top searched job categories for Data Analyst Data Analyst jobs in Addison, IL are:
What cities near Addison, IL are hiring for Data Analyst Data Analyst jobs? Cities near Addison, IL with the most Data Analyst Data Analyst job openings:
Data Analyst Data Analyst jobs near you
Data Analyst, Data Ops

Data Analyst, Data Ops

Harris Associates

Chicago, IL

Other

Posted 17 days ago

Job description

Position Summary:

The Data Ops teamis responsible fordelivering scalable data,reportingand operational analytics solutions that supportdecision-makingacross the firm. The team partners closely with stakeholders to enable trusted,wellgoverneddata that improvestransparency, efficiency, and outcomes.

The Data Analyst, Data Opsis responsible forensuring theaccurate,timelyand reliable delivery of data and analytics solutions to supportprocess efficiency and data-centric decision making. This role partnerscross functionallyto design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, andself-serviceinitiatives by ensuring data is consistently modeled, documented,governedand 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 andproblem-solvingskills with an operational mindset, brings a solid understanding of investment management datadomainsand thrives in a collaborative, agile environment. 

Responsibilities: 

  • Partner with data consumers to understand data needs and ensureaccuracy, reliability, and scalability of data and reporting outputs.
  • Design, develop, andmaintainsophisticated data, reporting, and workflow automation solutions.
  • Executehigh-impact, cross-functional data initiatives from requirements through delivery.
  • Gain deepexpertisein firm-wide business processes and translate operational needs into scalable solutions.
  • Support BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and documented data.
  • Support enterprise data governance by adhering to 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 infirm-wide initiatives such as system implementations and data integrations.
  • Participate in agile planning, backlog refinement, and prioritization ofDataOpsinitiatives.
  • Foster strong cross-functional relationships and promote a culture of collaboration,accountabilityand continuous improvement. 

Qualifications: 

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field.
  • 4-6 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 proficiencywith 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 skills with the ability to explain complex data concepts to nontechnical stakeholders.
  • Familiarity with Agile methodology and project management practices is a benefit.
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus. 

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