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Hr Data Analyst Jobs (NOW HIRING)

Data Analyst

Philadelphia, PA · On-site

$18.64/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $18.64/hr. $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

Data Analyst

Lakewood, CO · On-site

$20.08/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $20.08/hr $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

Data Analyst

Lakewood, CO · On-site

$20.08/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $20.08/hr $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

Data Analyst

Philadelphia, PA · On-site

$18.64/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... COMPENSATION: $18.64/hr. $5.09 Health & Welfare RESPONSIBILITIES: * Validate/maintain information ...

Perform data analyses using appropriate statistical methods and graphical display standards ... Pay and Benefits The pay range for this position is $42.00 - $42.00/hr. Individual compensation ...

Data Analyst

Plano, TX · On-site

$38 - $48/hr

Rate Range: $38-48/hr on W2 * Only W2 Candidates, NO C2C Responsibilities: Reporting Strategy ... Data Analysis * Data Validation * Dashboard Development * Advanced Excel * Business Requirements ...

Partner with HR, Finance, IT, data engineering, and business stakeholders to define key performance ... Hands-on experience with Workday Analytics, including data ingestion, dataset creation, data ...

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Send resumes and cover letter to hr@r3tek.com . Clearly reference position. NO CALLS EOE.

R3 Technology Inc. seeks Clinical Data Analyst for it Hillsborough NJ office. Participate in ... Send resumes and cover letter to hr@r3tek.com . Clearly reference position. NO CALLS. EOE.

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ... Pay Range: $35.00- $39.42/hr. Compensation decisions are made based on factors including experience ...

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ... Pay Range: $35.00- $39.42/hr. Compensation decisions are made based on factors including experience ...

Strong data analysis and problem-solving skills * Experience developing data pipelines and reporting datasets * Understanding of ERP/HR data models, integrations, and reporting * Strong communication ...

Data Analyst

Wilson, NC · On-site

$35 - $39.42/hr

Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ... Pay Range: $35.00- $39.42/hr. Compensation decisions are made based on factors including experience ...

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Hr Data Analyst information

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$82.6K

$136K

How much do hr data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for hr data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an HR Data Analyst?

HR Data Analysts are professionals who collect, analyze, and interpret data related to human resources, such as employee performance, recruitment, retention, and compensation. They use statistical tools and HR software to identify trends, generate reports, and provide insights that help organizations make data-driven decisions about their workforce. Their work supports HR strategies, improves efficiency, and helps optimize employee experience and organizational outcomes.

What are some common challenges HR Data Analysts face when working with workforce data?

One common challenge HR Data Analysts encounter is ensuring data accuracy and consistency across various HR systems and sources, as discrepancies can impact reporting and decision-making. They also often work with sensitive employee information, requiring strict adherence to data privacy and security protocols. Additionally, translating complex data findings into actionable insights that are easily understood by non-technical HR and leadership teams can be demanding, but it is crucial for driving organizational improvements.

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

To thrive as an HR Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in HR or data-related fields, often with a relevant degree. Familiarity with HRIS platforms, Excel, and data visualization tools like Tableau or Power BI, as well as knowledge of SQL, is typically required. Attention to detail, problem-solving, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable HR Data Analysts to drive data-driven decision-making and optimize workforce strategies within organizations.

Can HR become a data analyst?

HR professionals can transition to a data analyst role by developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Gaining experience with data visualization and understanding business metrics can also facilitate this career shift.

Is HR Data Analyst a good job?

HR Data Analysts analyze employee data to support HR decision-making, often using tools like Excel and data visualization software. The role typically requires strong analytical skills, attention to detail, and knowledge of HR processes, with opportunities for career growth and competitive salaries in many organizations.
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What states have the most Hr Data Analyst jobs?

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Infographic showing various Hr Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Principal Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Other

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


Job description

Job Description
Job Description
Role OverviewThe Principal Data Analyst is a strategic analytics leader and subject-matter expert who shapes how data is used across the organization. This role leads the most complex, high-impact analyses, defines analytical standards, and partners with executive leadership to influence long-term business strategy. The Principal Data Analyst operates with broad autonomy and serves as a mentor and thought leader across the analytics community.Key ResponsibilitiesLead enterprise-level, high-impact analyses that inform strategic decisionsDefine and govern company-wide KPIs, metrics, and analytical frameworksTranslate ambiguous, complex business problems into structured analytical approachesInfluence executive decision-making through clear, compelling data storytellingPartner with senior leadership to shape analytics strategy and prioritiesSet standards for analytical rigor, experimentation, and data interpretationMentor Staff and Senior Analysts and elevate analytical excellence across teamsDrive improvements in data quality, metric consistency, and governanceIdentify emerging trends, risks, and opportunities proactivelyQualificationsBachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)10+ years of experience in analytics or data-focused rolesExpert-level SQL and advanced analytical modeling skillsExtensive experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)Strong statistical reasoning and business acumenProven ability to influence executive stakeholders through insightsPreferred ExperienceAdvanced proficiency in Python or R for analysisExperience designing experimentation or causal analysis frameworksFamiliarity with data engineering and modern data architecturesDomain expertise (e.g., product, finance, HR, operations, growth analytics)Experience shaping analytics strategy without direct people management