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Data Analyst Computer Science Jobs in Deerfield, IL

Requires a Master's degree or foreign equivalent in Business Analysis, Data Science, Applied Computer Science, Mathematics or related field and 4 years of experience as a Data Analyst, Business ...

Requires a Master's degree or foreign equivalent in Business Analysis, Data Science, Applied Computer Science, Mathematics or related field and 4 years of experience as a Data Analyst, Business ...

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics). * Proven experience as a Data Analyst or similar role. * Proficiency in Python and SQL for data analysis and ...

* Bachelor's degree in Computer Science, Statistics, Mathematics, or related field * 2-5 years of experience in data analysis or similar role * Strong knowledge of SQL * Experience with Excel (Pivot ...

... analysts/data scientists, and machine learning engineers ... Who Should Apply Recent computer science/engineering/mathematics/statistics or science graduates ...

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics ... Bachelor's degree in computer science, bioinformatics, or a related field +3 years of experience.

Sr Data Analyst

Chicago, IL · Hybrid

$88.70K - $111.90K/yr

Bachelor's Degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience as a Data Analyst or similar role ...

Bachelor's degree in Computer Science, Data Analytics, Statistics, or related field. * Experience in insurance analytics, preferably commercial insurance. * Strong proficiency in SQL, Python, and ...

Data Analyst

Wheeling, IL · On-site

$80K - $95K/yr

We are seeking a Data Analyst who will turn data into information, information into insight and ... Degree in Mathematics, Economics, Computer Science, Information Management or Statistics ...

Sr Data Analyst

Chicago, IL · Hybrid

$89.99K - $143.09K/yr

Bachelor's Degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience as a Data Analyst or similar role ...

Bachelor's degree in Computer Science, Data Analytics, Statistics, or related field. * Experience in insurance analytics, preferably commercial insurance. * Strong proficiency in SQL, Python, and ...

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Bachelor's degree in Computer Science, Information Systems, or equivalent professional experience. * 7-10+ years of overall IT experience in data engineering, data analysis, or software development ...

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

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Data Analyst Computer Science information

See Deerfield, IL salary details

$34.6K

$84K

$138.3K

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

As of May 28, 2026, the average yearly pay for data analyst computer science in Deerfield, IL is $84,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.
What are popular job titles related to Data Analyst Computer Science jobs in Deerfield, IL? For Data Analyst Computer Science jobs in Deerfield, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Computer Science jobs in Deerfield, IL look for? The top searched job categories for Data Analyst Computer Science jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Data Analyst Computer Science jobs? Cities near Deerfield, IL with the most Data Analyst Computer Science job openings:
Data Science Lead Analyst

Data Science Lead Analyst

Citigroup Inc

Schaumburg, IL • On-site, Remote

$163.30K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


Job description

Citibank, N.A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location.

Duties: Code, test, and execute the requirements for simple-to-complex Retail Services Partner Delivery data processing programs. Conducts data usage analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis. Mines and analyzes data from various banking platforms to drive optimization and improve data quality. Deliver analytics initiatives to address business problems with the ability to determine data required, assess time and effort required and establish a project plan. Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals. Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions. Leads system change process from requirements through implementation; provides user and operational support of application to business users. Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards. Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams. Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts. Drives communication between business leaders and IT. Conduct workflow analysis, business process modeling; develop use cases, test plans, and business rules; assist in user acceptance testing. Collaborate on design and implementation of workflow solutions that provide long term scalability, reliability, and performance, and integration with reporting. Develop in-depth knowledge and proficiency of supported business areas and engage business partners in evaluating opportunities for process integration and refinement. Gather requirements and provide solutions across Business Sectors. Partner with cross functional teams to analyze, deconstruct, and map current state process and identify improvement opportunities including creation of target operation models. Direct the communication of status, issue, and risk disposition to all stakeholders. Direct the identification of risks which impact project delivery and ensure mitigation strategies are developed and executed when necessary. Ensure that work flow business case and cost benefit analyses are in line with business objectives. Deliver coherent and concise communications detailing the scope, progress and results of initiatives underway. Develop strategies to reduce costs, manage risk, and enhance services. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Requires a Master's degree or foreign equivalent in Business Analysis, Data Science, Applied Computer Science, Mathematics or related field and 4 years of experience as a Data Analyst, Business Analyst, Systems Analyst, Computer Programmer, Software Engineer, Consultant, or related position developing data analytics for financial regulatory reporting purposes. Alternatively, employer will accept a Bachelor's degree in the above fields and 6 years of progressively responsible, post-baccalaureate experience in the above positions. Full span of experience must include: Statistical Analysis System (SAS); Unix, Database (DB2), Teradata and Structured Query Language (SQL); Working within the Banking sector, including Risk and Compliance; Working within the Credit Card Domain; and Various phases of Software Development Lifecycle (SDLC) including planning, design, analysis, development, testing and deployment. Additionally, 3 years of experience must include: Bit Bucket, and Autosys; and Working with large scale databases and files. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26943939. EO Employer.

Wage Range: $163,300 to $163,300

Job Family Group: Technology

Job Family: Data Science

Job Family Group:

Job Family:

Time Type:

Full time

Primary Location:

Schaumburg Illinois United States

Primary Location Full Time Salary Range:

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Jun 02, 2026

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm) .

View Citi's EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy) and the Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) poster.

Citi is an equal opportunity and affirmative action employer.

Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.