Data Analyst 🎉
- Dar es Salaam, Tanzania
- viaKaziConnect
5 months ago
Mid Level
Information Technology
2 - 5 years
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
Job Summary
We are looking to hire a data analyst to join our data team. You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues. To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.
Duties And Responsibilities
- Collect, organize, and analyze large datasets from various sources to identify trends, patterns, and insights.
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
- Interpret data, analyze results using statistical techniques, and provide ongoing reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities.
- Create visualizations and reports to present findings and recommendations to stakeholders.
- Collaborate with cross-functional teams to support data-driven decision-making.
- Ensure data integrity and accuracy by performing data validation and cleaning.
Education Other Skills Required
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proven experience as a Data Analyst or similar role.
- Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), programming (XML, JavaScript, or ETL frameworks).
- Experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, 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 queries, report writing, and presenting findings.
- Excellent communication and presentation skills.
- Knowledge of data visualization tools
