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How much do workforce data analyst jobs pay per year?

As of Jun 22, 2026, the average yearly pay for workforce 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.

How does a Workforce Data Analyst typically collaborate with HR and management teams to drive data-informed decisions?

Workforce Data Analysts frequently work alongside HR professionals and management teams to interpret and present workforce trends, such as turnover rates, employee engagement, and headcount forecasting. They translate complex data into actionable insights, often participating in strategy meetings or delivering reports that influence hiring, training, and retention decisions. Collaboration is key, as analysts must understand business goals, gather feedback on reporting needs, and ensure that their analyses are both relevant and accessible to non-technical stakeholders. This close partnership helps organizations make informed, data-driven decisions about their workforce.

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

To thrive as a Workforce Data Analyst, you need strong quantitative analysis skills, a background in statistics or HR analytics, and a relevant degree such as in business, mathematics, or data science. Proficiency in data visualization tools (like Tableau or Power BI), HRIS systems, and advanced Excel, as well as experience with programming languages like SQL or Python, is commonly required. Excellent communication, attention to detail, and problem-solving skills help analysts translate complex data insights into actionable recommendations for stakeholders. These abilities are essential for providing accurate workforce insights that support informed business decisions and strategic workforce planning.

What are Workforce Data Analysts?

Workforce Data Analysts are professionals who collect, analyze, and interpret data related to an organization's workforce. They use statistical methods and data visualization tools to identify trends, forecast workforce needs, and provide insights that support human resources and business decision-making. Their work helps organizations optimize staffing, improve employee retention, and make evidence-based HR strategies. Workforce Data Analysts often collaborate with HR teams, management, and IT departments to ensure data accuracy and relevance.
More about Workforce Data Analyst jobs
What states have the most Workforce Data Analyst jobs? States with the most job openings for Workforce Data Analyst jobs include:
Workforce Data & Analytics Senior Manager

Workforce Data & Analytics Senior Manager

Deloitte

Las Vegas, NV • On-site

Other

Posted 22 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

Recruiting for this role ends on 5/30/2026.

Work you'll do

As a Workforce Data & Analytics Senior Manager on the HR Strategy & Technology team, you will be responsible for leading people analytics engagements that help clients translate workforce data into business decisions across work, workforce, and workplace priorities.

  • Lead delivery of people analytics engagements, including project planning, resource allocation, budget tracking, risk management, and execution against client objectives and timelines.
  • Manage global and cross-functional teams in the design and delivery of data engineering, analytics, dashboarding, visualization, and modeling solutions across Human Capital Management and enterprise business intelligence platforms.
  • Advise clients on people analytics strategy, operating model, roadmap, use cases, and user stories by conducting discovery, defining business questions, and translating findings into actionable recommendations.
  • Oversee data architecture, data pipelines, data quality remediation, privacy considerations, and deployment activities to support analytics and artificial intelligence use cases involving employee data.
  • Support client relationship management and business development activities, including presenting insights and recommendations, identifying analytics-led opportunities, and contributing to proposals and pursuits.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our HR Strategy & Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 8+ years of experience in management consulting or in a consultative analytics role
  • 8+ years of experience managing teams of 15+ professionals
  • 8+ years of experience performing data engineering and data analysis using Structured Query Language (SQL), R, and Python
  • 8+ years of experience working with data warehouses and data lakes, including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Databricks, or Snowflake
  • 8+ years of experience building dashboards and reporting solutions using business intelligence tools or people analytics platforms, including Tableau, Power BI, Qlik, Visier, or OneModel
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Engineering, or a related field
  • Experience leading at least 2 initiatives in which artificial intelligence or machine learning methods were designed or implemented for people analytics or workforce use cases
  • Experience facilitating at least 3 meetings, presentations, or workshops with cross-functional or global stakeholder groups on complex topics
  • Experience managing at least 2 data- or technology-enabled projects through the full project lifecycle, including budget, timeline, deliverable, and stakeholder management
  • Experience presenting findings from technical projects to Human Resources leadership or executive audiences at least 2 times, resulting in a defined business action, strategy, or policy change
  • Experience mapping, designing, or evaluating people analytics data and technology workflows for at least 1 organization or major initiative

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Education:Bachelor's DegreeEmployment Type:

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