HR Data Analyst

MAI Wealth Management, Inc.; Independence Township (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

MAI Wealth Management, Inc. is seeking an HR Data Analyst to support data-driven decision-making across Human Resources by collecting, analyzing, validating, and reporting employee and organizational data.

You will develop reports, dashboards, and insights to help leaders identify workforce trends and measure program effectiveness. The role focuses on maintaining accurate HR data, creating dashboards, and translating data into actionable insights for HR leaders and executives.

Qualifications

• Bachelor’s degree in Human Resources, Business Administration, Business Analytics, Industrial/Organizational Psychology, or a related field.
• 2–4+ years of HR experience, preferably with a focus on workforce analytics, employee engagement, HRIS reporting, and data interpretation.
• Experience with HRIS platforms and analytics tools; ADP Workforce Now and/or ADP TotalSource preferred.
• Advanced Microsoft Excel skills and experience required.
• Experience with reporting or dashboard tools such as Power BI or Tableau; SQL or other query language experience a plus.
• Relevant HR or people analytics certification preferred, such as SHRM-CP, PHR, SHRM People Analytics Specialty Credential, or AIHR People Analytics Certificate.

Responsibilities

• Collect and maintain HR data from HRIS for payroll, benefits, talent acquisition, learning, performance, engagement surveys, and other sources.
• Audit, clean, validate, and reconcile HR data with stakeholders to correct issues.
• Create and maintain recurring and ad hoc reports, dashboards, and scorecards tracking HR metrics like headcount, turnover, retention, hiring activity, time-to-fill, mobility, engagement, and demographics.
• Interpret HR data to identify patterns, risks, opportunities, and insights related to staffing, turnover, recruiting, employee experience, performance, compensation, learning, and effectiveness.
• Present findings in a clear, concise, and actionable format for HR leaders and executives; explain data meaning and decisions.
• Provide analytical support for workforce planning, talent management, engagement, retention, performance programs, compensation reviews, and organizational design.
• Collaborate with HR, Finance, IT, and leaders to define metrics and deliver analytics solutions.
• Identify opportunities to streamline reporting, automate tasks, standardize metrics, and improve data workflows.

Skills

Analytical skills

Organizational skills

Interpersonal skills

Problem-solving

Communication

Education

Bachelor’s degree

Tools

ADP Workforce Now

ADP TotalSource

Power BI

Tableau

Excel

SQL

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

HR Data Analyst

Full Time Professional Independence, OH, US

GENERAL JOB DESCRIPTION

The HR Data Analyst supports data-driven decision-making across Human Resources by collecting, analyzing, validating, and reporting employee and organizational data. This role develops reports, dashboards, and insights that help the CHRO and HRBPs identify workforce trends, measure program effectiveness, improve processes, and support organizational goals.

MAJOR DUTIES AND RESPONSIBILITIES

• Collect and maintain HR data: Gather, organize, and maintain employee and workforce data from HRIS for payroll, benefits, talent acquisition, learning, performance, engagement surveys, and other relevant sources.
• Ensure data accuracy and integrity: Audit, clean, validate, and reconcile HR data to identify errors, inconsistencies, duplicates, or gaps; partner with HR BPs, HR Operations Manager, and other system owners to correct issues.
• Develop reports and dashboards: Create and maintain recurring and ad hoc reports, dashboards, and scorecards that track key HR metrics such as headcount, turnover, retention, hiring activity, time-to-fill, internal mobility, engagement, absenteeism, training completion, and workforce demographics.
• Analyze workforce trends: Interpret HR data to identify patterns, risks, opportunities, and insights related to staffing, turnover, recruiting, employee experience, performance, compensation, learning, and organizational effectiveness.
• Translate data into insights: Present findings in a clear, concise, and actionable format for HR leaders, business partners, managers, and executive stakeholders; explain what the data means and how it can inform decisions.
• Support strategic HR initiatives: Provide analytical support for workforce planning, talent management, employee engagement, retention strategies, performance programs, compensation reviews, organizational design, and diversity-related reporting.
• Partner with stakeholders: Collaborate with HR team members, business leaders, Finance, IT, and other partners to understand reporting needs, define metrics, document requirements, and deliver meaningful analytics solutions.
• Improve HR processes and reporting: Identify opportunities to streamline reporting, automate recurring tasks, standardize metrics, improve data workflows, and increase the efficiency and reliability of HR analytics processes.

EXPERIENCE/CREDENTIALS

• Bachelor’s degree in Human Resources, Business Administration, Business Analytics, Industrial/Organizational Psychology, or a related field.
• 2–4+ years of HR experience, preferably with a focus on workforce analytics, employee engagement, HRIS reporting, and data interpretation.
• Experience with HRIS platforms and analytics tools; ADP Workforce Now and/or ADP TotalSource preferred.
• Advanced Microsoft Excel skills and experience required.
• Experience with reporting or dashboard tools such as Power BI or Tableau; SQL or other query language experience a plus.
• Relevant HR or people analytics certification preferred, such as SHRM-CP, PHR, SHRM People Analytics Specialty Credential, or AIHR People Analytics Certificate.

COMPETENCIES

• Strong analytical, organizational, interpersonal, and problem-solving skills.
• Ability to translate complex data into clear, actionable insights for non-technical stakeholders.
• Proficiency with HR analytics, reporting, and visualization tools, including Excel, Power BI, or Tableau.
• Collaborative, adaptable, and able to work effectively in both independent and team-based settings.
• Maintains confidentiality, discretion, professionalism, and a high level of integrity.