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Hr Data Analytics Jobs (NOW HIRING)

... HR, Data Analytics, IT, Internal/External Consultants and our Executive Leaders. Will use knowledge of financial system applications in Workday, Axiom, Tableau, and banking platforms to meet the ...

Key Requirements: • 10+ years in Data & Analytics leadership • Strong Data Engineering ... Pay and Benefits The pay range for this position is $85.00 - $90.00/hr. Eligibility requirements ...

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Collaborate with leaders in GTM (Sales/Marketing), Finance, HR, and other corporate functions to ... Recruit, mentor, and lead a diverse team of data engineers, analysts, and architects, fostering a ...

Key Requirements: • 10+ years in Data & Analytics leadership • Strong Data Engineering ... Pay and Benefits The pay range for this position is $85.00 - $90.00/hr. Eligibility requirements ...

New

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Hr Data Analytics information

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$46K

$165K

$243.5K

How much do hr data analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for hr data analytics in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Can HR become a data analyst?

HR professionals can transition into data analyst roles by developing skills in data analysis, statistics, and tools like Excel, SQL, or Tableau. Gaining experience with data-driven decision-making and obtaining relevant certifications can facilitate this career shift.

What is the difference between Hr Data Analytics vs HR Analyst?

AspectHr Data AnalyticsHR Analyst
Primary FocusAnalyzing HR data to identify trends and insightsInterpreting HR data to support HR functions and decision-making
Skills RequiredData analysis, statistical tools, HR knowledgeHR policies, data interpretation, communication skills
Tools UsedExcel, SQL, data visualization softwareExcel, HRIS systems, reporting tools
Work EnvironmentData-driven, analytics teams, HR departmentsHR departments, business units

While both roles involve working with HR data, Hr Data Analytics primarily focuses on analyzing large datasets to uncover trends and insights, often requiring advanced data skills. HR Analysts interpret data to support HR functions like recruitment and employee relations. The roles overlap but differ in scope and technical depth.

What are the key skills and qualifications needed to thrive as an HR Data Analytics professional, and why are they important?

To thrive as an HR Data Analytics professional, you need strong analytical skills, a background in human resources or data science, and knowledge of statistical methods. Familiarity with HRIS platforms, data visualization tools like Tableau or Power BI, and proficiency in Excel or programming languages such as Python or R are typically required. Critical thinking, attention to detail, and effective communication help you translate complex data into actionable HR insights. These skills are essential for driving data-informed decision-making, optimizing workforce strategies, and demonstrating HR's value to organizational goals.

Does HR Data Analytics pay well?

HR Data Analytics professionals typically earn competitive salaries that reflect their specialized skills in data analysis, HR systems, and statistical tools. Salaries vary based on experience, location, and industry, with many roles offering additional benefits and opportunities for advancement.

What is HR Data Analytics?

HR Data Analytics, also known as Human Resources Analytics or People Analytics, is the process of collecting, analyzing, and interpreting data related to an organization's workforce. It helps HR professionals make data-driven decisions about hiring, employee performance, retention, and development. By leveraging various metrics and tools, HR Data Analytics aims to improve organizational effectiveness and employee satisfaction. This approach enables companies to identify trends, forecast workforce needs, and optimize HR strategies.

How does an HR Data Analytics professional typically collaborate with other departments within an organization?

HR Data Analytics professionals frequently work cross-functionally, partnering with departments such as IT, finance, and operations to gather relevant data and extract actionable insights. They collaborate closely with HR business partners and leadership to align analytics initiatives with organizational goals, often participating in meetings to present findings or discuss workforce trends. Effective communication and teamwork are essential, as HR data analysts must translate complex data into strategies that support talent management, diversity initiatives, and overall business performance.

Is HR Data Analytics a good job?

HR Data Analytics is a growing field that involves analyzing employee data to improve HR strategies and decision-making. It requires skills in data analysis tools like Excel, SQL, or Python, and often benefits from certifications in HR or data analytics. The role offers opportunities for career advancement and is in demand across various industries.
More about Hr Data Analytics jobs
What cities are hiring for Hr Data Analytics jobs? Cities with the most Hr Data Analytics job openings:
What states have the most Hr Data Analytics jobs? States with the most job openings for Hr Data Analytics jobs include:
Infographic showing various Hr Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Product Data Analyst: $53/Hr

Infonet Consulting Group, Inc.

Miami, FL • On-site

$49 - $53/hr

Contractor

Re-posted 23 days ago


Job description

Rate: $53/hr 1099/Corp-to-Corp or $49/hr-W2

JOB LENGTH: 9 Months

One of Infonet's premier clients has an opening for a Product Data Analyst. (970)

TERMS: Contract

SCOPE OF WORK

• Collect, clean, transform, and analyze data from multiple structured and semi-structured sources
• Design, build, and maintain ETL pipelines that ingest data from databases, APIs, flat files, and other sources
• Write and optimize SQL queries to support analytics, reporting, and operational needs
• Develop and maintain Python scripts for data processing, automation, and validation
• Operate within Linux/Unix environments to manage scripts, review logs, schedule jobs, and troubleshoot issues
• Perform data quality checks and resolve data integrity issues
• Produce recurring reports and perform ad hoc analyses to support business and technical stakeholders
• Collaborate with engineering, IT, and business teams to resolve data availability or performance issues
• Document data sources, pipelines, scripts, and operational processes
• Contribute to improving data processes, automation, and best practices

REQUIRED SKILLS / EXPERIENCE

• 3–5 years of professional experience in a data analyst or similar technical role
• Strong proficiency in Python for data analysis, scripting, and automation
• Solid experience with SQL, including complex queries, joins, aggregations, and performance considerations
• Hands-on experience designing and maintaining ETL workflows from multiple data sources
• Comfortable working in Linux/Unix operating systems, including command-line usage and basic system troubleshooting
• Experience with scripting (Python, Bash, or shell scripting)
• Linux and Windows operating systems
• Basic networking concepts such as IP addressing, DNS, ports, and connectivity troubleshooting

PREFERRED EDUCATION

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience

TRAVEL REQUIREMENT

• Yes – between downtown Miami and Miramar offices as needed for collaboration

Company Description

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.
What distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.