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HR Data Analyst (Dangote Cement Transport)

Job Summary:

The HR Data Analyst will be responsible for collecting, analyzing, and reporting HR data to support decision-making processes within the HR department. This role requires a keen eye for detail, strong analytical skills, and the ability to communicate findings effectively to both technical and non-technical stakeholders.

Job Description:

  • Acquire data from primary or secondary data sources and maintain databases/data systems.
  • Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
  • Removing corrupted data and fixing coding errors and related problems.
  • Developing and maintaining database data systems – reorganizing data in a readable format.
  • Performing analysis to assess the quality and meaning of data.
  • Filter Data by reviewing reports and performance indicators to identify and correct code problems
  • Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on trends, patterns, and predictions using relevant data.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work with management to prioritize business and information needs.
  • Bachelor’s degree in human resources, Business Administration, Computer Science, Statistics, or a related field ( Masters is an add advantage).
  • Certification in HR analytics or data analysis.
  • Proven working experience as a Data Analyst.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong proficiency in HRIS and data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at big data queries and report writing.
  • Private Health Insurance
  • Paid Time Off
  • Training & Development
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Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

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Full-time, remote
DATE POSTED
April 14, 2025

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