JIJEDAPT Human Resources Consult Limited is involved in the Consultancy Of Human Resources Management And Services, Project Management, Training And Certifications, Business Plans, Business Optimization, Expatriate Management, Information Management Sysyem and GeneralAdvisory Services.
Job Summary
- We are seeking a highly organized and detail-oriented Data Tracker to join our team.
- The successful candidate will be responsible for tracking and analyzing data to identify trends, patterns, and insights that inform business decisions.
- The Data Tracker will work closely with various teams to ensure data accuracy, completeness, and relevance.
Key Responsibilities
- Data Collection and Tracking: Collect and track data from various sources, including databases, spreadsheets, and other data systems.
- Data Analysis: Analyze data to identify trends, patterns, and insights that inform business decisions.
- Data Visualization: Create data visualizations, such as charts, graphs, and dashboards, to communicate findings to stakeholders.
- Data Quality: Ensure data accuracy, completeness, and relevance by identifying and addressing data quality issues.
- Collaboration: Work closely with various teams, including business development, marketing, and operations, to ensure data is used effectively to inform business decisions.
- Reporting: Provide regular reports and updates to stakeholders on data findings and insights.
Requirements
- Education: Bachelor's Degree in a relevant field, such as Computer Science, Mathematics, or Statistics.
- Experience: 2+ years of experience in data tracking, analysis, and visualization.
Skills:
- Proficiency in data analysis and visualization tools, such as Excel, Tableau, or Power BI.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and meet deadlines.
Nice to Have:
- Experience with data management systems, such as SQL or NoSQL databases.
- Knowledge of data visualization best practices and design principles.
- Familiarity with machine learning or statistical modelingtechniques.
Method of Application
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