Data Analyst 🎉
  • Dar es Salaam, Tanzania
  • viaKaziConnect
17 days 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 for a skilled and detail-oriented Data Analyst to join our team. The Data Analyst will play a critical role in interpreting and analyzing data, identifying trends, and delivering actionable insights to help our organization make data-driven decisions. The ideal candidate should be analytical, methodical, and have a strong understanding of data management and analysis tools.

Duties And Responsibilities
  • Gather, analyze, and interpret large sets of data from various sources to identify trends and provide insights.
  • Develop and maintain databases, data systems, and other strategies that optimize statistical efficiency and quality.
  • Conduct data cleaning and validation to ensure accuracy and consistency.
  • Design and create data reports and visualizations to support organizational decision-making.
  • Collaborate with team members to identify and address data needs, and implement effective data solutions.
  • Monitor and audit data quality, identify any data discrepancies, and troubleshoot issues.
  • Assist in the development of policies and procedures for data management.

Education Other Skills Required
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proven experience as a Data Analyst or in a similar role.
  • Proficiency in data analysis tools such as SQL, R, Python, or similar programming languages.
  • Advanced skills in Excel and experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong analytical and problem-solving skills with a high attention to detail.
  • Ability to communicate complex data findings clearly to non-technical stakeholders.
  • Strong organizational skills and the ability to work independently.
  • Knowledge of statistical methodologies and data modeling.
  • Experience with database management (e.g., MySQL, PostgreSQL).
  • Familiarity with ETL (Extract, Transform, Load) processes.
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