Data Analyst 🎉
- Dar es Salaam, Tanzania
- viaKaziConnect
12 days ago
Mid Level
Information Technology
2 - 5 years
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field
Job Summary
We are looking for a skilled and detail-oriented Data Analyst to join our team. The ideal candidate will have strong analytical skills, a passion for working with data, and the ability to turn raw information into actionable insights that drive business decisions. This role is vital in helping us understand data trends and improve operational efficiency.
Duties And Responsibilities
- Collect, clean, and organize data from various sources to ensure accuracy and completeness.
- Analyze large datasets to identify trends, patterns, and insights.
- Develop and implement data collection systems and strategies to optimize data quality and efficiency.
- Create visualizations, dashboards, and reports to effectively communicate data findings to stakeholders.
- Collaborate with cross-functional teams to define and prioritize data analysis needs.
- Identify and interpret trends or patterns in complex data sets to support business decision-making.
- Conduct data validation and ensure integrity throughout the analysis process.
- Use statistical methods and tools to develop predictive models and optimize processes.
- Stay updated on industry trends and best practices in data analysis and visualization.
- Provide recommendations to improve processes and strategies based on data-driven insights.
Education Other Skills Required
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Proficiency in data analysis tools such as Microsoft Excel, SQL, R, Python, or Tableau.
- Strong understanding of statistical concepts and data modeling techniques.
- Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
- Excellent problem-solving and critical-thinking skills.
- Strong communication and presentation abilities to explain complex data findings clearly.
- Attention to detail and a commitment to data accuracy and quality.
- Ability to manage multiple projects and deadlines effectively.
- Familiarity with machine learning techniques and predictive analytics.
- Knowledge of cloud-based data platforms (e.g., AWS, Google Cloud, Azure).
- Experience with big data tools such as Hadoop or Spark.
