Human Resources Data Analyst, Dangote Cement Transport at Dangote Group Full Time

Job Title: Human Resources Data Analyst, Dangote Cement Transport

Job Requisition No.: HR – DCT Obajana 004
Location: Obajana, Kogi
Schedule: Full-time
Dpartment: Logistics (Land Transport)

Description

• Using automated tools to extract data from primary and secondary sources
• 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
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• 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
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs

Requirements

• Degree in Computer Science, Computer Information Systems or Statistics. A certificate in Data Sciences will be an added advantage.
• Proven working experience as a Data Analyst.
• Technical Expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
• Strong analtical 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.

Benefits

• Personal Health Insurance
• Pay Off Time
• Training and Development

Application Closing Date
Not Specified.