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Data Reporting Manager Jobs in Chicago, IL (NOW HIRING)

DMG MORI USA, INC

Business Manager

Hoffman Estates, IL · On-site

Business Manager Reporting Manager: Vice President of Sales Location: 2400 Huntington Blvd., ... Generate and present data, reporting, and executive summaries for internal and external meetings ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

... data reporting and workflow automation solutions. Responsibilities : • Partner with data ... issue management processes • Ensure data processes align with operational risk, audit, and ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines ... Demonstrated proficiency with Agile methodology and project management practices * Experience with ...

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts ...

Reply

Manager, Data Engineering

Chicago, IL

$160K - $190K/yr

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on ... Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts ...

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Showing results 21-40

All JobsData Reporting JobsData Reporting Manager JobsData Reporting Manager Jobs in Chicago, IL

Data Reporting Manager information

See Chicago, IL salary details

$32K

$100.2K

$177.3K

How much do data reporting manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data reporting manager in Chicago, IL is $100,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data reporting manager?

To thrive as a Data Reporting Manager, you need strong analytical abilities, expertise in data visualization, and a background in statistics or business analytics, often supported by a bachelor’s or master’s degree in a related field. Familiarity with technical tools like SQL, Microsoft Power BI, Tableau, and reporting automation platforms is typically required. Exceptional communication, leadership, and problem-solving skills help you translate complex data into actionable insights and manage cross-functional teams. These skills ensure accurate, timely reporting and enable data-driven decision-making that supports organizational goals.

What are some common challenges faced by data reporting managers when collaborating with cross-functional teams?

Data Reporting Managers often work with various departments such as IT, finance, and operations to gather and interpret data. One common challenge is ensuring data consistency and accuracy across different systems and teams, which may use varying definitions and reporting standards. Effective communication is essential to align stakeholders on reporting needs and timelines. Additionally, managing expectations and balancing multiple priorities can be demanding, especially during tight reporting cycles. Building strong relationships and establishing clear processes can help overcome these challenges.

What is the difference between Data Reporting Manager vs Data Analyst?

AspectData Reporting ManagerData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; often with experience in reporting toolsBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads reporting teams, collaborates with management, oversees reporting processesAnalyzes data, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in corporate, finance, and tech industries for strategic reportingCommon in marketing, finance, and operations for data analysis and insights

The Data Reporting Manager focuses on overseeing reporting teams and strategic data presentation, while the Data Analyst primarily conducts data analysis and creates reports to support business decisions. Both roles require strong analytical skills, but the manager role involves leadership and project oversight.

What cities near Chicago, IL are hiring for Data Reporting Manager jobs?

Cities near Chicago, IL with the most Data Reporting Manager job openings:

Data Reporting Manager jobs near you
Infographic showing various Data Reporting Manager job openings in Chicago, IL as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,073 per year, or $48.1 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL • On-site

Full-time

Re-posted 10 days ago

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

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