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Data Analyst

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The suitable candidates main responsibilities and duties include, but are not limited to, the following: ⯠â¯

Data Collection & Processing
  • Gather and clean data from multiple sources, including databases, APIs, and spreadsheets.
  • Ensure data accuracy, completeness, and consistency.
  • Automate data collection and processing tasks where possible.
Data Analysis & Interpretation
  • Analyze large datasets to identify patterns, trends, and correlations.
  • Use statistical techniques to interpret data and generate reports to
  • Provide insights that support business decisions and optimize processes.
Data Visualization & Reporting
  • Create dashboards, charts, and reports using tools like Excel, Tableau, Power BI, or Python.
  • Present findings to stakeholders in a clear and actionable manner.
  • Develop interactive visualizations to facilitate data-driven decision-making.
Database Management & Querying
  • Work with databases (SQL, NoSQL) to extract and manipulate data.
  • Optimize data structures for efficiency and performance.
  • Ensure data integrity and security compliance.
Business Intelligence & Decision Support
  • Collaborate with cross-functional teams to understand data needs.
  • Provide insights to improve operational efficiency, customer experience, and profitability.
  • Assist in predictive analytics and machine learning initiatives when required.
Continuous Improvement & Innovation
  • Stay updated with industry trends and emerging technologies in data analytics.
  • Recommend improvements in data collection, processing, and reporting techniques.
  • Support automation efforts to enhance efficiency and accuracy.
The suitable candidate shall have the following qualifications/attributes/skills: â¯â¯
  • Bachelors degree in data science, Statistics, Computer Science, Economics, Mathematics, or a related field.
  • Drivers licenseâ¯- own transport
  • Proficiency in SQL for data querying.
  • Experience with data visualization tools (Tableau, Power BI, or Google Data Studio).
  • Knowledge of programming languages like Python or R.
  • Strong Excel skills for data manipulation and reporting, with the ability to analyze large datasets and extract meaningful insights.
  • Strong problem-solving and critical-thinking abilities.
  • Effective communication skills to present findings to stakeholders.
  • Attention to detail and a data-driven mindset.
  • Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus.
  • Familiarity with machine learning concepts and tools & understanding of business intelligence (BI) strategies.
  • Prior experience in data analytics or business intelligence role, with statistical methods and data modelling.