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Data Analyst Data Science Jobs in Broadview, IL (NOW HIRING)

Harris | Oakmark

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 ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL

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 ...

Harris Associates

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 ...

National Association of REALTORS

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Collaborate with Data Scientists on data quality initiatives, statistical analyses, AI-assisted testing frameworks, and machine learning-related projects * Participate in source control, deployment ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

Required : • Bachelor's or Master's degree in Data Science, Social Science, Computer Science ... Knowledge of analytics modeling, tools, and concepts (e.g. statistics, data science, machine ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

$71.20 - $124.50/hr

## Data Analyst IIApplylocations: Chicago, ILtime type: Full timeposted on: Posted Yesterdayjob ... You'll play a role in something that's never been done before as we integrate science and clinical ...

Sralab

Data Analyst II

Chicago, IL

You'll play a role in something that's never been done before as we integrate science and clinical ... Summary The Data Analyst II will support implementation, administration, configuration, and ...

S4 Market Data

Market Data Analyst

Chicago, IL · On-site

PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer ...

Shirley Ryan AbilityLab

Data Analyst II

Chicago, IL · On-site

You'll play a role in something that's never been done before as we integrate science and clinical ... Summary The Data Analyst II will support implementation, administration, configuration, and ...

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Jobtailor

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Degree preferably in statistics, applied mathematics, data science, analytics, engineering, computer science, or a similar field with quantitative coursework * Proven experience using Python for data ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

... data science concepts. Responsibilities: • Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems. • Relate current systems to ...

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Data Analyst Data Science information

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$33.5K

$81.5K

$134.1K

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

As of Aug 26, 2026, the average yearly pay for data analyst data science in Broadview, IL is $81,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,700.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

Data Analyst Data Science jobs near you

Data Analyst, Data Ops

Chicago, IL • On-site

Harris | Oakmark
See more jobs at Harris | Oakmarkexternal

Full-time

This job post has expired today. Applications are no longer accepted.

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.

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