ZipRecruiter

Log In

1

Data Analytics Jobs in Springfield, IL (NOW HIRING)

Owens & Minor

Commercial Analytics Lead

Springfield, IL · On-site

$120K - $140K/yr

This position will work upstream the ops-data analytics team, reporting to the VP of Sales Operations, and partnering closely with the VP of Commercial Transformation to ensure all commercial ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

next page

Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in Springfield, IL

Data Analytics information

See Springfield, IL salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for data analytics in Springfield, IL is $54.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Springfield, IL? The most popular types of Data Analytics jobs in Springfield, IL are:
What job categories do people searching Data Analytics jobs in Springfield, IL look for? The top searched job categories for Data Analytics jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Data Analytics jobs? Cities near Springfield, IL with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Springfield, IL as of July 2026, with employment types broken down into 86% Full Time, 5% Part Time, and 9% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $112,861 per year, or $54.3 per hour.

Vice President of Data Analytics

Heartland Credit Union

Springfield, IL

Full-time

Re-posted 11 days ago

Job description

Heartland Credit Union is seeking a forward-thinking Vice President of Data Analytics to lead the organization's enterprise data strategy and transform data into actionable business intelligence.  This role will partner closely with executive leadership to deliver insights that improve member experience, drive growth, support strategic decision making, and enhance operational performance.  The VP will oversee enterprise reporting, dashboard development, data governance, business intelligence initiatives, predictive analytics, and the advancement of modern cloud-based analytics capabilities.

The ideal candidate will have 5-8+ years of experience in data analytics, business intelligence, financial analytics, or enterprise reporting, with strong experience working directly with executive leadership.  Candidates should possess expertise in Power BI, SQL, Tableau, cloud-based data environments, and financial services data ecosystems.  Experience within a credit union, banking or fintech environment is strongly preferred.  A bachelor's degree in Analytics, Business, Finance, Statistics, Computer Science or a related field is required, while advanced degrees and industry certifications in analytics, cloud technologies, project management, or data engineering are preferred.

Apply