HR Data Analyst — Hybrid, Data-Driven Insights

Placements24

Sandton

Hybrid

ZAR 480,000 - 820,000

Full time

5 days ago
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Benefits offered by this job

Hybrid work model
Competitive salary and incentives
Health and wellness benefits

Job summary

Placements24 is seeking an analytical HR Data Analyst to join their Sandton team. You will transform HR data into actionable insights that support workforce planning, talent management, and employee engagement initiatives.

You will collect, clean, and analyze large HR datasets, develop dashboards using Tableau or Power BI, and present findings to stakeholders. A 2–4 year background in data analysis with SQL, Python or R and advanced Excel is required.

Qualifications

  • Bachelor's degree in Statistics, Data Science, HR, or a related quantitative field.
  • 2–4 years of experience as a Data Analyst, preferably within an HR function.
  • Proficiency in SQL, Python, R, and advanced Excel.
  • Experience with data visualization tools like Tableau, Power BI.
  • Strong understanding of HR metrics and KPIs.

Responsibilities

  • Collect, clean, and analyze large datasets related to HR metrics such as turnover, recruitment, performance, and compensation.
  • Develop and maintain HR dashboards and reports using data visualization tools.
  • Identify key trends, patterns, and insights within HR data to inform strategic initiatives.
  • Collaborate with HR business partners and leadership to understand data needs and provide analytical support.
  • Present findings and recommendations clearly and concisely to diverse audiences.
  • Ensure data accuracy, integrity, and adherence to data privacy regulations.

Skills

SQL
Python
R
Excel
Tableau
Power BI
HR KPIs
Communication

Education

Bachelor's degree in Statistics, Data Science, HR, or related field

Tools

Tableau
Power BI
Excel

Job description

Placements24 is seeking an analytical HR Data Analyst to join their Sandton team. You will transform HR data into actionable insights that support workforce planning, talent management, and employee engagement initiatives.

You will collect, clean, and analyze large HR datasets, develop dashboards using Tableau or Power BI, and present findings to stakeholders. A 2–4 year background in data analysis with SQL, Python or R and advanced Excel is required.

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