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Data Analytics Jobs in Springfield, IL (NOW HIRING)

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

The Data Analyst will be responsible for collecting, querying, and analyzing data to support investigative duties and develop reports to assist in case assessments. Responsibilities : • collecting ...

NEOGOV is seeking a Data Analyst to join the Illinois Attorney General's Office, responsible for collecting and analyzing data to support investigative duties. The role involves running queries ...

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Data Modeler

Springfield, IL · On-site +1

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

Data Modeler

Springfield, IL · On-site

$54.25 - $70.25/hr

We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex ...

New

* Assemble and summarize data for sophisticated reports on financial status and risks * Develop financial models, benchmarking, process analyses, and forecast models * Analyze historical, budgeted ...

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Data Analytics information

See Springfield, IL salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 21, 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.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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 are popular job titles related to Data Analytics jobs in Springfield, IL?

For Data Analytics jobs in Springfield, IL, the most frequently searched job titles 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:

Infographic showing various Data Analytics job openings in Springfield, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,861 per year, or $54.3 per hour.

Vice President of Data Analytics

EmergencyMD

Springfield, IL • On-site

Other

Posted 15 days ago


Job description

Heartland Credit Union – Vice President of Data Analytics

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.

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