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Functional Data Analyst Jobs in Chicago Heights, IL

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery ... Execute high-impact, cross-functional data initiatives from requirements through delivery * Gain ...

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery ... Execute high-impact, cross-functional data initiatives from requirements through delivery * Gain ...

Data Analyst We are seeking a detail-oriented Data Analyst to turn raw data into actionable ... Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key ...

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 ...

... functional teams to gather project data and ensure its accuracy • Monitor project financials and conduct data analysis to control budgets • Work with management to understand and control costs ...

Data AnalystChicago or Dallas - WFH 2 days/week (onsite 3 days/week)As a Data Analyst, you'll focus on managing data, both from a technical standpoint and also functional standpoint to ensure the ...

Data AnalystChicago or Dallas - WFH 2 days/week (onsite 3 days/week)As a Data Analyst, you'll focus on managing data, both from a technical standpoint and also functional standpoint to ensure the ...

Collaborate with cross-functional teams to understand business requirements and deliver analytical ... Ensure data accuracy, consistency, and integrity across reporting systems. * Automate recurring ...

Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. * Conduct ad-hoc analysis and deep dives to address specific business ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... Functional/Technical Expertise * Good computer skills with MS Excel, Outlook and PowerPoint

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Successful developing relationships within and across functional teams (including statistical ...

This role requires collaboration with cross-functional teams to transform complex data into ... Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

This role is functional and technical with the qualified candidate having an understanding and ... Data Analyst details * Data modeler/analyst must have strong knowledge of star schema and snow ...

Senior Data Analyst

Chicago, IL · On-site

$110 - $130/hr

Collaborate with functional teams, including Sales, Marketing, Finance, IT, and Supply Chain, to ... Create and implement analysis processes that improve data quality, consistency, and statistical ...

We're looking for a Compliance Senior Data Analyst with deep SQL expertise, strong logical ... Exposure to cross-functional projects and intercompany initiatives, with occasional need to ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/hr

Collaborate with functional teams, including Sales, Marketing, Finance, IT, and Supply Chain, to ... Create and implement analysis processes that improve data quality, consistency, and statistical ...

Senior Data Analyst

Chicago, IL · On-site

$110K - $130K/yr

Collaborate with functional teams, including Sales, Marketing, Finance, IT, and Supply Chain, to ... Create and implement analysis processes that improve data quality, consistency, and statistical ...

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Functional Data Analyst information

See Chicago Heights, IL salary details

$33.2K

$80.8K

$132.9K

How much do functional data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for functional data analyst in Chicago Heights, IL is $80,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

What is a functional data analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.

What are the key skills and qualifications needed to thrive as a functional data analyst?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a functional data analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What are popular job titles related to Functional Data Analyst jobs in Chicago Heights, IL?

For Functional Data Analyst jobs in Chicago Heights, IL, the most frequently searched job titles are:

What job categories do people searching Functional Data Analyst jobs in Chicago Heights, IL look for?

The top searched job categories for Functional Data Analyst jobs in Chicago Heights, IL are:

What cities near Chicago Heights, IL are hiring for Functional Data Analyst jobs?

Cities near Chicago Heights, IL with the most Functional Data Analyst job openings:

Infographic showing various Functional Data Analyst job openings in Chicago Heights, IL as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $80,769 per year, or $38.8 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL • 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 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