Data Analyst, Data Ops
Chicago, IL · On-site
Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field • 7-10 years of experience in investment management, financial services, or a data ...
Data Analyst, Data Ops
Chicago, IL · On-site
Required : • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field • 7-10 years of experience in investment management, financial services, or a data ...
Data Analyst, Data Ops
Chicago, IL · On-site
Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Data Analyst, Data Ops
Chicago, IL · On-site
Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Data Analyst
Chicago, IL · On-site
Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...
Data Analyst
Chicago, IL · On-site
Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...
Data Analyst
Chicago, IL · On-site +1
Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...
Data Analyst
Chicago, IL · On-site +1
Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...
Data Analyst
Chicago, IL · On-site
Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...
Data Analyst
Chicago, IL · On-site
Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
... analytics, and downstream consumption Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms Design and implement data ...
Quick apply
Data Engineer
Chicago, IL · On-site
$118K - $141K/yr
... analytics, and downstream consumption Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms Design and implement data ...
Senior Data Engineer
$109K - $148K/yr
Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions. * Implement data pipelines to automate the ingestion ...
Senior Data Engineer
$109K - $148K/yr
Help our analysts and engineers build and optimize data pipelines to understand our large and ever-growing user base and make better decisions. * Implement data pipelines to automate the ingestion ...
Data Engineer
Chicago, IL · Hybrid
$118K - $141K/yr
Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI ... Adept in agile methodologies and capable of applying DevOps and DataOps principles to data ...
Data Engineer
Chicago, IL · Hybrid
$118K - $141K/yr
Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI ... Adept in agile methodologies and capable of applying DevOps and DataOps principles to data ...
Data Analyst - Hybrid
Warrenville, IL · On-site
Serve as a subject matter expert for data engineering teams and technology partners * Design, build ... Analyze large and complex datasets to identify trends, risks, and opportunities * Translate ...
Data Analyst - Hybrid
Warrenville, IL · On-site
Serve as a subject matter expert for data engineering teams and technology partners * Design, build ... Analyze large and complex datasets to identify trends, risks, and opportunities * Translate ...
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
Burbank, IL · Remote
Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...
Data Analyst
Burbank, IL · Remote
Arsenault is seeking a Data Analyst to join our team in a part-time capacity. Youll be supporting ... Strong knowledge of and experience with reporting packages, databases, programming * Knowledge of ...
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
Chicago, IL (some travel to McLean, VA maybe required) Duration: 7+ months Role Overview We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives.
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
Chicago, IL (some travel to McLean, VA maybe required) Duration: 7+ months Role Overview We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives.
Data Engineer
Chicago, IL · Hybrid
$100K - $151K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ...
Data Engineer
Chicago, IL · Hybrid
$100K - $151K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Perform data analysis to ensure quality of data assets. * Perform preliminary exploratory analysis ...
Data Analyst
Chicago, IL · On-site
$187K/yr
Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...
Data Analyst
Chicago, IL · On-site
$187K/yr
Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...
Enterprise Data Analyst
Chicago, IL · On-site +1
Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...
Enterprise Data Analyst
Chicago, IL · On-site +1
Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...
Enterprise Data Analyst
Chicago, IL · On-site +1
Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...
Enterprise Data Analyst
Chicago, IL · On-site +1
Partner with the Data Engineering team to source, integrate, and validate data from across the Firm ... Connect analytical findings to business outcomes and Firm priorities Continuous Improvement ...
Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...
Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...
Data Engineer
$118K - $141K/yr
Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...
Data Engineer
$118K - $141K/yr
Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...
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 ...
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 ...
Data Engineer
Chicago, IL · On-site +1
$118K - $141K/yr
Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Analyze data structures and sources to define transformation logic and ensure data quality and ...
Data Engineer
Chicago, IL · On-site +1
$118K - $141K/yr
Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Analyze data structures and sources to define transformation logic and ensure data quality and ...
Data Engineer Data Analyst information
See Elmhurst, IL salary details
$33.9K - $43.1K
4% of jobs
$43.1K - $52.3K
7% of jobs
$52.3K - $61.6K
13% of jobs
$62.1K is the 25th percentile. Wages below this are outliers.
$61.6K - $70.8K
18% of jobs
The median wage is $75.1K / yr.
$70.8K - $80K
16% of jobs
$80K - $89.3K
13% of jobs
$92.7K is the 75th percentile. Wages above this are outliers.
$89.3K - $98.5K
9% of jobs
$98.5K - $107.7K
5% of jobs
$107.7K - $117K
9% of jobs
$117K - $126.2K
3% of jobs
$126.2K - $135.5K
2% of jobs
$33.9K
$82.3K
$135.5K
How much do data engineer data analyst jobs pay per year?
As of Aug 11, 2026, the average yearly pay for data engineer data analyst in Elmhurst, IL is $82,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 per year, depending on experience, location, and employer.
How do data engineer data analysts typically collaborate with data scientists and business stakeholders?
Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.
What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?
To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.
What is the difference between Data Engineer Data Analyst vs Data Scientist?
| Aspect | Data Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, Engineering, or related; often certifications in cloud or data tools | Bachelor's or higher in CS, Statistics, or related; often advanced degrees |
| Work Environment | Builds data pipelines, manages databases, ensures data flow | Analyzes data, creates models, interprets insights |
| Employer & Industry Usage | Tech companies, finance, healthcare, e-commerce | Research firms, tech, finance, marketing |
Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.
What job categories do people searching Data Engineer Data Analyst jobs in Elmhurst, IL look for? The top searched job categories for Data Engineer Data Analyst jobs in Elmhurst, IL are:
What cities near Elmhurst, IL are hiring for Data Engineer Data Analyst jobs? Cities near Elmhurst, IL with the most Data Engineer Data Analyst job openings:
Full-time
Re-posted 2 days ago
Job description
Job Summary:
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
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 data‑service analytics initiatives by ensuring consistent, well‑modeled, and well‑documented 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:
Required:
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 7-10 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 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 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
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: . Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
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 data‑service analytics initiatives by ensuring consistent, well‑modeled, and well‑documented 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:
Required:
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 7-10 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 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 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
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: . Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.