Dangote Group
Dangote Group is one of Nigeria’s leading and most diversified business conglomerates. With a well-earned reputation for excellence in business practices and product quality, the company’s operational headquarters is located in Lagos, Nigeria, West Africa. We are committed to fostering growth and innovation across various sectors of the economy.
Location: Ibese, Ogun
Job Type: Full-time
Position Overview
We are looking for an experienced and detail-oriented HR Data Analyst to join our team at Dangote Cement Transport. This role will focus on collecting, analyzing, and reporting HR data to inform decision-making processes within the HR department. The ideal candidate will possess strong analytical skills, a keen eye for detail, and the ability to effectively communicate findings to both technical and non-technical stakeholders.
Key Responsibilities
- Collect data from primary or secondary sources and maintain databases and data systems.
- Utilize statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
- Cleanse data by removing corrupted records, fixing coding errors, and resolving related issues.
- Develop and maintain data systems and databases, ensuring data is organized in a readable format.
- Conduct analysis to evaluate the quality and significance of the data.
- Review reports and performance indicators to filter data and identify and correct issues.
- Prepare comprehensive analysis reports to present findings, trends, and predictions to stakeholders.
- Interpret data and provide statistical analysis to generate ongoing reports.
- Develop and implement strategies for optimizing data collection, data systems, and data analytics.
- Work closely with management to prioritize business and information needs.
Qualifications and Requirements
- Bachelor’s Degree in Human Resources, Business Administration, Computer Science, Statistics, or a related field (Master’s Degree is an added advantage).
- Certification in HR analytics or data analysis.
- Proven experience as a Data Analyst.
- Strong knowledge of data models, database design, data mining, and segmentation techniques.
- Proficiency in HRIS and data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistics and experience using statistical software (e.g., Excel).
- Exceptional analytical skills with a focus on detail and accuracy.
- Ability to work with large data sets and generate insightful reports.
Benefits
- Private Health Insurance
- Paid Time Off
- Training & Development Opportunities
Application Closing Date
Not Specified
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