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Data Analyst Data Scientist Jobs in Romeoville, IL

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 ...

Hirose Electric USA

Data Scientist

Downers Grove, IL · On-site

The Data Scientist will play a key role in identifying, aggregating, and analyzing data across ... Analyze data across key business domains, including: * Sales funnel performance, pipeline ...

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 ...

New

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 ...

AArete

Data Scientist

Chicago, IL · On-site

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're ... Mine and analyze data to drive optimization and improvement of business strategies * Develop custom ...

AArete

Data Scientist

Chicago, IL

Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global ... Mine and analyze data to drive optimization and improvement of business strategies * Develop custom ...

Ulta Beauty

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Explain and present complex analytical approaches and model results in a concise manner to drive ...

Benda Infotech

Data Scientist

Chicago, IL

$70K - $100K/yr

As a Data Scientist, you will assist in analyzing complex data sets and delivering actionable insights that drive data-driven decision-making. Your role will involve collaborating closely with cross ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Explain and present complex analytical approaches and model results in a concise manner to drive ...

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL

$102K - $130K/yr

As a Data Scientist, you will succeed by mining our rich data assets to develop features ... Explain and present complex analytical approaches and model results in a concise manner to drive ...

Aivra Health LLC

Data Scientist

Chicago, IL · On-site

Analyze structured and unstructured datasets. * Build predictive and statistical models. * Develop machine learning algorithms. * Perform data cleaning and feature engineering. * Create dashboards ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

Build reusable analytical frameworks on top of GTI's curated data layer (retail sales, inventory ... data science, quantitative analyst, or ML engineering role - with demonstrable work in model ...

Green Thumb

Data Scientist

Chicago, IL · On-site

Build reusable analytical frameworks on top of GTI's curated data layer (retail sales, inventory ... data science, quantitative analyst, or ML engineering role - with demonstrable work in model ...

Cushman & Wakefield

Junior Data Scientist

Chicago, IL · On-site +1

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... The Analyst will spend most of their time doing substantive analytical and research work ...

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Romeoville, IL

Data Analyst Data Scientist information

See Romeoville, IL salary details

$46.9K

$168.3K

$248.3K

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

As of Jul 30, 2026, the average yearly pay for data analyst data scientist in Romeoville, IL is $168,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $173,300.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges Data Analyst Data Scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Data Analyst or Data Scientist, and why are they important?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What are popular job titles related to Data Analyst Data Scientist jobs in Romeoville, IL? For Data Analyst Data Scientist jobs in Romeoville, IL, the most frequently searched job titles are:
What cities near Romeoville, IL are hiring for Data Analyst Data Scientist jobs? Cities near Romeoville, IL with the most Data Analyst Data Scientist job openings:
Data Analyst Data Scientist jobs near you

Data Analyst, Data Ops

Harris Associates

Chicago, IL

Other

Re-posted 20 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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