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Data Analytics Jobs in Springfield, IL (NOW HIRING)

DATA MANAGER

Springfield, IL ยท On-site

$102K - $151K/yr

Independently directs the gathering and analysis of relevant facts and data concerning abuse and neglect investigations; makes recommendations for policy and procedure development/revision within the ...

DATA MANAGER

Springfield, IL ยท On-site

$102K - $151K/yr

Independently directs the gathering and analysis of relevant facts and data concerning abuse and neglect investigations; makes recommendations for policy and procedure development/revision within the ...

Independently directs the gathering and analysis of relevant facts and data concerning abuse and neglect investigations; makes recommendations for policy and procedure development/revision within the ...

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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 Jun 7, 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 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:

Analyst, Strategic Initiatives Data and Business

Carrington

Springfield, IL โ€ข Remote

$95K - $120K/yr

Full-time

Medical, Retirement

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Come join our amazing team and work remote from home! What you'll do: Responsible for supporting enterprise initiatives sponsored by the Executive Committee by translating strategic objectives into actionable, data-informed solutions. Acting as an internal consultant, this role partners with business leaders, project managers, analytics, and IT teams to design, document, prioritize, and execute initiatives that drive long-term business value.

Responsibilities are not focused on routine report production. Instead, emphasizes strategic problem-solving, requirements gathering, and data governance. Perform all duties in accordance with the company's policies and procedures, all US state and federal laws and regulations, wherein the company operates.

The target pay range for this position is $95,000.00 to $120,000.00. What you'll need: Strategic Initiative Execution & Problem Solving Team member responsible for execution of high-impact, enterprise-level initiatives from concept through implementation. Translate executive priorities into clear problem statements, business requirements, and measurable outcomes.

Use structured problem-solving to resolve business challenges, evaluate options, and deliver data-informed recommendations. Identify and address gaps between current business operations and executive goals. Collaborate with business, IT, analytics, vendors, and other delivery partners.

Partner with Project Managers, IT and analytics teams to prioritize initiatives, manage dependencies, and align work to technology roadmaps. Lead requirements gathering by engaging business stakeholders to understand current processes, challenges, and improvement opportunities. Own and maintain high-quality documentation including business requirements, functional specifications, process flows, data mappings, and solution designs.

Develop use cases, track requirements, manage assumptions, and ensure solution alignment throughout the project lifecycle. Create functional specifications for new or enhanced systems, reports, analytics, and processes. Provide recommendations on data, analytics, reporting, and process solutions.

Evaluate existing data assets, reports, dashboards, and analytical processes; recommend scalable improvements. Support and promote data governance practices, including consistent data definitions, business rules, documentation, and appropriate data usage. Use SQL and analytical tools to explore data, validate logic, and support solution development.

Perform other duties as assigned. Requirements, Solution Design & Documentation Lead requirements gathering by engaging business stakeholders to understand current processes, challenges, and improvement opportunities. Own and maintain high-quality documentation including business requirements, functional specifications, process flows, data mappings, and solution designs.

Develop use cases, track requirements, manage assumptions, and ensure solution alignment throughout the project lifecycle. Create functional specifications for new or enhanced systems, reports, analytics, and processes. Provide recommendations on data, analytics, reporting, and process solutions.

Evaluate existing data assets, reports, dashboards, and analytical processes; recommend scalable improvements. Support and promote data governance practices, including consistent data definitions, business rules, documentation, and appropriate data usage. Use SQL and analytical tools to explore data, validate logic, and support solution development.

Perform other duties as assigned. Data, Analytics & Governance Provide recommendations on data, analytics, reporting, and process solutions. Evaluate existing data assets, reports, dashboards, and analytical processes; recommend scalable improvements.

Support and promote data governance practices, including consistent data definitions, business rules, documentation, and appropriate data usage. ESSENTIAL KNOWLEDGE, SKILLS, ABILITIES, AND COMPETENCIES: Strategic and forward-thinking mindset Solution-oriented with strong analytical judgment and problem-solving skills, able to simplify complex, ambiguous issues into executable solutions. Strong documentation, prioritization, and execution skills Sound judgment related to data usage, quality, and governance.

Ability to operate effectively in ambiguous, fast-paced environments. Excellent presentation and communication skills, including management-level communication. Ability to learn and understand all aspects of the business process, key performance drivers, and operational report metrics.

Bachelor's degree in Business, Analytics, Information Systems, Computer Science, or related field, or equivalent experience Two plus (2+) years of experience in business analysis, data analytics, consulting, or related roles Experience supporting enterprise-wide initiatives. Strong understanding of data structures, analytical concepts, and reporting logic. Ability to read, write, and interpret code (e.g., SQL, Python, or similar) Demonstrated experience working cross-functionally with IT, analytics, and project management teams.

Experience with AI-enabled analytics, automation, or decision-support solutions, preferred. Experience with Microsoft Azure, Microsoft Fabric, or modern cloud data platforms, preferred. Familiarity with data governance frameworks, data quality practices, or metadata management, preferred.

Experience in Mortgage, Real Estate, Title, Financial Services, or similarly regulated industries, preferred. Familiarity with Agile or hybrid delivery methodologies, preferred. Our Company: Carrington Mortgage Holdings is a holding company whose primary businesses include asset management, mortgages, real estate transactions and real estate logistics.

Collectively, the businesses are vertically and horizontally integrated, and provide a broad range of real estate services encompassing nearly all aspects of single-family residential real estate transactions in the United States. Guided by a leadership team with a wealth of industry experience and guided by a consistent philosophy, Carrington maintains the necessary infrastructure to ensure stability and maximize value during any market cycle. We hope you'll consider joining our growing team of uniquely talented professionals as we transform residential real estate.

To read more visit: www.carringtonhc.com. What We Offer: Comprehensive healthcare plans for you and your family. Plus, a discretionary 401(k) match of 50% of the first 4% of pay contributed.

Access to several fitness, restaurant, retail (and more!) discounts through our employee portal. Customized training programs to help you advance your career. Employee referral bonuses so you'll get paid to help Carrington and Vylla grow.

Educational Reimbursement. Carrington Charitable Foundation contributes to the community through causes that reflect the interests of Carrington Associates. For more information about Carrington Charitable Foundation, and the organizations and programs, it supports through specific fundraising efforts, please visit: carringtoncf.org.

Carrington is an equal opportunity employer. It is the policy of the company that applicants be considered for positions for which they qualify without regard to race, color, religion, sex, gender identity, national origin, ancestry, age, marital status, sexual orientation, protected veterans status, physical or mental disability or any other legally protected category. Carrington will make reasonable accommodations for known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the company.

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