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Data Analytics Recruiter Jobs (NOW HIRING)

Hello There, Wish you a Happy Wednesday, My name is Yashmita, and I am a Technical Recruiter at ... TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE ...

Company Description Motocol is recruiting for our client Our client is seeking a senior software ... Collaborate with business analysts and data scientists in eliciting and articulating solution ...

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect PERFORMANCE COACH: Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies ...

... recruitment and retention of top-tier analytics talent. • Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. • Manage analytics ...

Manager, Data Analytics

$158K - $224K/yr

Manager, Data Analytics Santa Monica, California, United States About the Manager, Data Analytics ... Your recruiter will provide more details on the specific salary range for your location during the ...

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Your recruiter will provide more details on the specific salary range for your location during the ...

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Your recruiter will provide more details on the specific salary range for your location during the ...

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Your recruiter will provide more details on the specific salary range for your location during the ...

Participate in the recruitment and retention of top-tier analytics talent. Ensure the team ... Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to ...

Job Summary The Data Analytics and Insights Team is a core part of Optimum Media. Our team ... recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race ...

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Data Analytics Recruiter information

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$12

$27

$44

How much do data analytics recruiter jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data analytics recruiter in the United States is $27.23, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $31.97 per hour, depending on experience, location, and employer.

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.

Is there a high demand for data analytics?

Data analytics is a rapidly growing field with strong demand for professionals skilled in data analysis, visualization, and tools like SQL and Python. Organizations across industries seek data analysts and data scientists to inform decision-making, making it a promising career path for those with relevant skills and certifications.

Is 30 too late for data science?

Data analytics recruiters and hiring managers recognize that career changers can succeed in data science at age 30 or older, especially with relevant skills such as programming, statistics, and tools like Python or R. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and developing practical experience.

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.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human oversight and judgment critical in the analytics process.

Is 40 too late for data science?

Data analytics recruiters recognize that career changers can successfully transition into data science at any age, including 40. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience and certifications. Age is less a barrier than demonstrated competence and continuous learning in the field.

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.
More about Data Analytics Recruiter jobs
What cities are hiring for Data Analytics Recruiter jobs? Cities with the most Data Analytics Recruiter job openings:
What states have the most Data Analytics Recruiter jobs? States with the most job openings for Data Analytics Recruiter jobs include:
Infographic showing various Data Analytics Recruiter job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $56,641 per year, or $27.2 per hour.

Data Analytics

Kanak Elite Services Inc

West Chicago, IL • On-site

Contractor

Posted 15 days ago


Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: ANALYST – LOYALTY & MARKETING DATA ANALYTICS
ASSIGNMENT LENGTH: 1 YEAR (WITH STRONG POSSIBILITY OF EXTENSION)
LOCATION: CHICAGO, IL – CAN BE REMOTE BUT HAS TO COME ONSITE WHEN THE TEAM IS ASKED TO COME ONSITE.

About the Team

Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and customer experience. We drive revenue growth by turning customers into lifelong United flyers through personalized marketing, data-driven insights, and seamless digital engagement. The Digital Marketing Operations group supports the end-to-end delivery of campaigns and analytics that fuel this mission.

Role Overview

We are seeking a Data Analyst to join the Marketing Campaign Operations team. This role will focus on collecting, analyzing, and interpreting marketing data to deliver insights that enhance campaign performance and operational efficiency. You will work cross-functionally with marketing, data, and technical teams, supporting audience targeting, automation, and reporting.

Key Responsibilities

  • Analyze marketing and loyalty data to identify patterns, trends, and optimization opportunities
  • Build and automate dashboards, reports, and visualizations to communicate insights effectively
  • Develop and manage data extensions and audience segments within Salesforce Marketing Cloud (SFMC) using SQL
  • Support the development of marketing data pipelines and automated workflows in PySpark and Databricks
  • Maintain data standards and ensure data integrity across multiple platforms
  • Partner with cross-functional teams to improve campaign execution, reporting, and decision-making

Required Qualifications

  • 3–5 years of experience in data analysis, ideally within marketing or business analytics
  • Strong proficiency in SQL and PySpark
  • Hands-on experience with Amazon Redshift and Databricks
  • Working knowledge of Salesforce Marketing Cloud (SFMC), including audience segmentation and data extension management
  • Excellent analytical, problem-solving, and communication skills
  • Ability to translate technical insights into actionable business recommendations