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Data Analytics Recruiter Jobs in Ohio (NOW HIRING)

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Assess current team capabilities and begin the recruitment process to scale the department.

Adecco is assisting a local client recruiting for Data Analyst opportunities in Akron OH 44308 . This is an excellent opportunity to join a forward-thinking electric utility powered by a diverse team ...

Recruiting for this role ends on 07/27/2026 Work you'll do: As a Manager, Strategy, Growth, and ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

Recruiting for this role ends on 07/27/2026 Work you'll do: As a Manager, Strategy, Growth, and ... Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ...

$39.97 - $62.91/hr

This role supports the development and deployment of data analytics at Intermountain Health. As a ... Your information is safe and used only for recruitment. Thank you for considering a career with us ...

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Data Analytics Recruiter information

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

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 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 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 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 are popular job titles related to Data Analytics Recruiter jobs in Ohio? For Data Analytics Recruiter jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Analytics Recruiter jobs? Cities in Ohio with the most Data Analytics Recruiter job openings:
Infographic showing various Data Analytics Recruiter job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution.

Data Analytics Engineer

Kanak Elite Services Inc

Cincinnati, OH โ€ข On-site

$109K - $131K/yr

Contractor

Posted 22 days ago


Job description

Hi,
Hope your are doing well.ย 

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, share me your updated resume onย anjali08@kanakits.com.ย ย 


Role: DATA ANALYTICS ENGINEER

Location: Cincinnati, OHย (onsite)

We are forward-thinking organization committed to harnessing the power of data to drive business success. We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift to join our team and help us build and maintain robust data infrastructure.

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Responsibilities:

  • Design, develop, and maintain reports using Tibco Spotfire
  • Optimize and manage existing reports.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
  • Develop and maintain documentation for data processes and architecture.
  • Stay updated with the latest trends and best practices in data engineering and AWS technologies.

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Requirements:

  • Bachelor's degree in computer science, Information Technology, or related field.
  • Proven experience as a Data Engineer, with a focus on AWS Redshift.
  • Strong proficiency in SQL and database management.
  • Strong proficiency in Tibco Spotfire.
  • Familiarity with AWS services such as AWS Quick sight, AWS redshift
  • Knowledge of data warehousing concepts and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge on CICD process

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Preferred Qualifications:

  • Certifications in Tibco Spotfire
  • Knowledge of programming languages such as Python, SQL etc.
  • Understanding of data governance and security practices.