1

Data Analyst Jobs in Schaumburg, IL (NOW HIRING)

Required skills: • 5 years of experience as an integration analyst, healthcare data analyst or similar role • 3 years of hands-on experience working with HL7 (v2.x, v3) message structures and ...

Data Analyst

Itasca, IL · On-site

$82.73K - $124.09K/yr

Data Analyst ID 2026-7045 Position Type Regular Full-Time Introduction Join us at AIT, where we believe every day presents an opportunity to make a global impact! We're problem solvers, driven by our ...

We are seeking a results-driven Data Analyst to join our Plant Controlling team and spearhead our analytics and automation initiatives. This is not a traditional reporting role; you will be the ...

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or Chicago, IL * Data Warehouse Experience 5 to 7 years * SQL used in a technical setting minimum 5 years

Senior Data Analyst Location: Chicago IL Duration: 03 - 06 months Contract. Job Requirements: * Required expertise: Power BI, SQL and Databricks. * Design, optimize, and maintain complex SQL queries ...

Data Analyst

Chicago, IL

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance ...

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 Position The newly established Chen Lab is based in the Department of Human Genetics at the University of Chicago. Our research strives to catalyze repeated traversal of the 'genomic ...

Data Analyst Location: Hybrid - Chicago, IL Duration: Long Term Start Date: Immediate * Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

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

Chicago, IL · On-site

$120K - $170K/yr

About the Role We are looking for a Financial & Data Analyst to join our Finance organization and help us build a scalable, accurate, and automated data foundation. This role bridges Finance ...

next page

Showing results 1-20

Data Analyst information

See Schaumburg, IL salary details

$33.4K

$81.2K

$133.5K

How much do data analyst jobs pay per year?

As of May 27, 2026, the average yearly pay for data analyst in Schaumburg, IL is $81,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most commonly searched types of Data Analyst jobs in Schaumburg, IL? The most popular types of Data Analyst jobs in Schaumburg, IL are:
What are popular job titles related to Data Analyst jobs in Schaumburg, IL? For Data Analyst jobs in Schaumburg, IL, the most frequently searched job titles are:
What cities near Schaumburg, IL are hiring for Data Analyst jobs? Cities near Schaumburg, IL with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Schaumburg, IL as of May 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% In-person job distribution, with an average salary of $81,150 per year, or $39 per hour.
Data Analyst

Data Analyst

eTeam

Schaumburg, IL • On-site

Other

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


Job description

Integration Analyst

This role is part of our engineering organization and is responsible for translating business requirements into clear, actionable technical specifications. The integration Analyst serves as a liaison between business and technical teams, helping to simplify complex business needs into well-defined technical requirements. As an Integration Analyst, you will be part of a Scrum team, working closely with product managers, developers, and other technology and business stakeholders. You will leverage your analytical and technical expertise to drive effective solutions. A key responsibility of the role is to create and maintain integration mapping documentation, including HL7 and other data formats, defining accurate mappings between source and destination systems.

• Gather and analyze requirements for integrations between internal applications and external partner systems.

• Interpret and work with HL7 (v2.x, v3), FHIR, XML and other data/message structures.

• Create and maintain source-to-target data mapping documentation.

• Analyze source and target system data structures to identify gaps, inconsistencies, and data quality issues.

• Define transformation logic, field mappings and data rules.

• Collaborate with technical teams implementing the interfaces and transformations.

• Collaborate with the product manager, business and development teams to define user stories, acceptance criteria, and sprint goals.

• Participate in daily stand-ups, sprint reviews, and retrospectives to share progress, discuss challenges, and identify opportunities for optimization.

• Collaborate with QA analysts to validate data integrity and troubleshoot any issues related to tracking implementation or data discrepancies.

• Act as a subject matter expert in Quest HL7 standards and integration best practices.

Required skills:

• 5 years of experience as an integration analyst, healthcare data analyst or similar role

• 3 years of hands-on experience working with HL7 (v2.x, v3) message structures and standards (ADT, ORU, ORM etc)

• Hands-on experience with data mapping and transformations rules

• Strong understanding of healthcare workflows (especially patient registration, orders, results, billing workflows and message formats)

• Experience working with data formats such as HL7, XML, JSON, FHIR etc

• 2 years of experience working in Agile/Scrum environment

• Experience with Jira for managing stories and backlog

• Experience writing user stories and acceptance criteria

• Ability to closely work with businesses, product managers and developers to prioritize backlog items

• Ability to manage multiple priorities in a fast-paced environment.

Physical and Mental Requirements: Proven ability to sift through data, identify critical information, analyze, and make recommendations that influence successful product outcomes Self-driven, highly motivated individual Bachelor's degree in Science, Business, Computer Science, or a related field

Keyword: Skills: Java XML Technologies (XML| XSL| FO| JAXP| JAXB) Experience Required: 10 & Above