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Data Analytics Computer Science Jobs in Chicago, IL

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field Preferred Qualifications: - Understanding of digital advertising or media analytics - Experience with ...

Uber

Data Analyst, Measurement Science, Ads

Chicago, IL · On-site +1

... Computer Science, Statistics, Data Analytics, Data Science, Engineering, or a related field**Preferred Qualifications:**- Understanding of digital advertising or media analytics- Experience with ...

Request Technology, LLC

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141K/yr

Bachelor's or Master's degree in a quantitative discipline (e.g., Statistics, Computer Science ... as a data engineer, software engineer, data scientist, financial risk analyst, business ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... our Data Scientists. The ideal candidate will be responsible for employing machine learning ... Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.

Munich Re

Technical Architect - Data, Analytics & AI

Lisle, IL · Hybrid

$62.75 - $80.75/hr

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in Chicago, IL

Data Analytics Computer Science information

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$25

$56

$97

How much do data analytics computer science jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data analytics computer science in Chicago, IL is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $63.89 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities near Chicago, IL are hiring for Data Analytics Computer Science jobs? Cities near Chicago, IL with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you
Sr. Manager- Data Analytics

Sr. Manager- Data Analytics

Excel Talent Solutions

Chicago, IL • Hybrid

Full-time

Posted 2 days ago

Job description

Sr Manager, Data Analytics & Solutions– Chicago (North – Hybrid, 3x week)
Overview
Our client has their global headquarters in the Chicago area and is a global consumer packaged goods organization that produces household staples that have been trusted for generations. As a result of their continued growth and expansion of their IT team, they established a need to bring a Sr Manager of Data Analytics and Solutions to drive a top corporate initiative to leverage AI/ML capabilities to improve accessibility of data inventory for analytics.
The keys to this role include:
  • Deep understanding and capability of optimizing the AI/ML capabilities of SAP as well as data architecture
  • Strong business acumen and can partner with functional leaders in supply chain, finance, sales, procurement, and manufacturing.
  • Previous experience working in a CPG manufacturing environment.

Their Spec:
This is a high-impact role focused on leading the development of data products that unlock insights and empower decision-making across various functions such as Supply Chain, Manufacturing, Finance, Sales, Trade and Procurement. We’re seeking a techno-functional leader who is passionate about innovation and committed to delivering impactful solutions to our internal customers. You will also be supported by a Data & Analytics Shared Services Center of Excellence (COE) for advanced data modeling and visualization. The ideal candidate brings deep experience with analytics best practices from mature data environments and thrives in agile, fast-evolving settings—skilled in both strategic leadership and hands-on execution
  • Manage the end-to-end lifecycle of data products, including stakeholder engagement, design, deployment, and sunsetting of legacy solutions.
  • Deliver impactful data solutions that support strategic decisions across various functions within our organization.
  • Act as a trusted advisor, bridging the gap between business needs and technical execution within cross-functional teams.
  • Promote data literacy by training functional partners and enabling self-service analytics adoption.
  • Influence enterprise data management and architecture by identifying capabilities that drive business value.
  • Lead the design, development, and ongoing management of data and decision-support products—such as dashboards, reports, and analytical queries.
  • Serve as the main liaison for business stakeholders in these areas, ensuring their needs are translated into scalable data solutions.

What they are seeking:
  • BA/BS degree in information technology, Computer Science, Data Science, or a related field for data and analytics along with 7+ years of professional experience in Data & Analytics roles, with a strong record of delivering impactful data solutions
  • AI/ML Operationalization: Skilled in deploying and scaling AI/ML models beyond experimentation to deliver business impact in production environments.
  • Proven expertise in designing and deploying end-to-end data products across Supply Chain, Manufacturing, Finance, Sales, Trade and Procurement domains, preferably within the Consumer-Packaged Goods (CPG) industry
  • Minimum 5 years of experience working with SAP data products (e.g., BW, HANA, Datasphere, Databricks, ECC, S/4HANA), with deep understanding of SAP data architecture in CPG company
  • Hands-on experience with visualization and reporting tools such as SAP Analytics Cloud, Power BI, Business Objects, and Analysis for Office
  • Effectively bridges technical and commercial teams by simplifying complex data into clear, actionable insights aligned with strategic goals.