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Data Analytics Recruiter Jobs in Champaign, IL (NOW HIRING)

Saigepartners

Data Engineer

Champaign, IL · On-site

$125 - $135/hr

Build and maintain robust data platforms that support advanced analytics, reporting, and predictive ... Our relationship-focused recruiting approach helps professionals find opportunities that align with ...

New

TSMG

Data collector / Driver

Champaign, IL · On-site

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TSMG

Data collector / Driver

Champaign, IL · Remote

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Busey

Human Resources Business Partner I

Champaign, IL

$26.70 - $34.70/hr

Collect, analyze, and report on routine associate metrics such as Onboarding/Exit Survey Data ... Equal Opportunity Busey values a diverse and inclusive workplace and strives to recruit, develop ...

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All JobsData Analytics Recruiter JobsData Analytics Recruiter Jobs in Champaign, IL

Data Analytics Recruiter information

See Champaign, IL salary details

$12

$27

$45

How much do data analytics recruiter jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analytics recruiter in Champaign, IL is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $32.02 per hour, depending on experience, location, and employer.

What does a Data Analytics Recruiter do?

A Data Analytics Recruiter specializes in finding and hiring qualified professionals for data analytics roles within organizations. They work closely with hiring managers to understand the technical requirements of analytics positions, source and screen candidates with relevant skills in data analysis, and manage the interview and hiring process. Data Analytics Recruiters must be knowledgeable about analytics tools, industry trends, and the specific needs of data-driven teams to successfully match candidates to the right opportunities.

What are the key skills and qualifications needed to thrive as a Data Analytics Recruiter?

To thrive as a Data Analytics Recruiter, you need a solid understanding of data analytics roles, strong sourcing abilities, and experience with full-cycle recruitment, typically supported by a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), LinkedIn Recruiter, and data-driven recruitment tools is crucial. Excellent communication, relationship-building, and negotiation skills set standout professionals apart in this field. These skills and tools are vital for identifying top analytics talent and matching them effectively with organizational needs.

What are some common challenges Data Analytics Recruiters face when sourcing candidates, and how can they be addressed?

Data Analytics Recruiters often encounter challenges such as a limited pool of qualified candidates, rapidly evolving technical skill requirements, and high competition from other employers seeking analytics talent. To address these issues, recruiters can build strong relationships with academic institutions, leverage specialized job boards and networking events, and stay updated on the latest data analytics tools and technologies. Proactively engaging with passive candidates and collaborating closely with hiring managers to define precise role requirements also helps improve sourcing effectiveness.

What is the difference between Data Analytics Recruiter vs Data Analyst?

AspectData Analytics RecruiterData Analyst
Required CredentialsRecruitment certifications, HR or recruiting experienceDegree in Data Science, Statistics, or related field
Work EnvironmentRecruitment agencies, HR departments, staffing firmsBusiness, finance, tech companies, or consulting firms
Employer & Industry UsageUsed in HR and staffing sectors to source data talentUsed across industries to analyze data and generate insights
Search & Comparison IntentFocuses on recruiting data professionalsFocuses on analyzing data to inform business decisions

The main difference is that a Data Analytics Recruiter specializes in sourcing and hiring data professionals, while a Data Analyst focuses on analyzing data to support business strategies. Both roles require familiarity with data concepts, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Analytics Recruiter jobs in Champaign, IL?

For Data Analytics Recruiter jobs in Champaign, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics Recruiter jobs in Champaign, IL look for?

The top searched job categories for Data Analytics Recruiter jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for Data Analytics Recruiter jobs?

Cities near Champaign, IL with the most Data Analytics Recruiter job openings:

Data Analytics Recruiter jobs near you
Infographic showing various Data Analytics Recruiter job openings in Champaign, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $56,724 per year, or $27.3 per hour.

Data Engineer

Saigepartners

Champaign, IL • On-site

$125 - $135/hr

Other

Posted yesterday

New

Job description

Data Engineer · Location: Columbus, OH (Onsite - based out of Champaign, IL) · Job Type: Direct Hire · Salary: $125-135k/base (negotiable based on experience).

About the Opportunity

Saige Partners is seeking a talented Data Engineer to join a high-performing engineering team focused on building modern data platforms that power advanced analytics, machine learning, and business intelligence solutions. This role offers the opportunity to develop scalable, high-performance data pipelines while partnering with data scientists, consultants, and business stakeholders to deliver trusted, actionable data. If you enjoy solving complex data challenges, working with cloud technologies, and building reliable data infrastructure that drives business decisions, this is an excellent opportunity to make an immediate impact.

What You'll Do
  • Design, develop, and optimize scalable data pipelines that integrate data from a variety of internal and external sources.
  • Build and maintain robust data platforms that support advanced analytics, reporting, and predictive modeling initiatives.
  • Develop, test, troubleshoot, and enhance data products to meet evolving business and client needs.
  • Monitor system performance and ensure high levels of data quality, integrity, and availability.
  • Collaborate with engineers, data scientists, consultants, and business stakeholders to improve data accessibility and usability.
  • Implement modern software engineering best practices including automated testing, version control, CI/CD pipelines, and Infrastructure as Code.
  • Continuously evaluate new tools and technologies to improve platform performance, scalability, and reliability.
  • Help deliver innovative, data-driven solutions that create measurable business value for clients.
Qualifications
  • 3 6 years of experience as a Data Engineer or in a related data engineering role.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or another quantitative discipline.
  • Strong experience designing and building scalable, data-intensive applications and pipelines.
  • Proficiency in Python and SQL, with experience developing efficient, maintainable code for large datasets.
  • Experience with distributed data processing technologies such as Apache Spark and/or Databricks.
  • Experience working with cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience with workflow orchestration tools such as Apache Airflow.
  • Knowledge of Git, CI/CD pipelines, automated testing, and Infrastructure as Code.
  • Strong analytical and troubleshooting skills with a focus on improving data reliability and quality.
  • Excellent communication and collaboration skills with the ability to work effectively across cross-functional teams.
  • Self-motivated, detail-oriented, and committed to continuous learning.
  • Experience in financial services, consulting, or risk management is a plus.
Why Join This Opportunity?

Make an impact from day one with ownership of meaningful technical projects. Work alongside highly skilled engineers, consultants, and data professionals on challenging, high-value initiatives. Develop modern cloud-based data solutions using cutting-edge technologies. Partner directly with clients to solve complex business challenges through data. Expand your technical expertise while working across multiple industries and business domains. Join a collaborative culture that values innovation, technical excellence, and continuous improvement. Enjoy opportunities for professional growth while helping shape the future of enterprise data platforms.

About Saige Partners

At Saige Partners, we connect exceptional talent with organizations where they can make an immediate impact. Our relationship-focused recruiting approach helps professionals find opportunities that align with their skills, career goals, and long-term success.

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