In this role, the incumbent will be responsible for analyzing large datasets, generating actionable insights, which shall support strategic decision-making processes. He/She should be highly skilled in data visualization, statistical analysis and have a strong analytical mindset to support the operational efficiency of the company by coordinating fiscal management activities, performing data analysis and maintaining departmental statistics and reports.

KEY RESPONSIBILITIES

Strategic Business Development: Use statistical methods and data analytics tools to interpret data, identify trends, patterns and correlations, and draw meaningful insights that inform business decisions.

Data Collection: Collect, process and analyse large datasets from multiple sources to identify trends, patterns and insights.

Data Visualisation: Create reports and dashboards using visualisation tools to present data findings in a clear and compelling way for stakeholders, enabling them to make informed decisions.

Dashboard Creation: Design and maintain dashboards and visual reports to effectively communicate key metrics.

Operational: Ensure data accuracy and integrity by performing quality checks and cleaning data as necessary. Present findings in a clear and concise manner to both technical and non-technical audiences.

Compliance and Governance: Implement and follow all approved Standard Operating Procedures and all defined policies of the Company as per the Quality Management System.

QUALIFICATIONS & EXPERIENCE

• Bachelor's Degree in data science, statistics, computer science or a related field.
• At least 1 ⁠year of experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools such as Python, R, or SQL will be an added advantage.
• Advanced knowledge of data visualization tools (e.g., Tableau, Power Bl, or equivalent).
• Strong understanding of statistical methods and predictive modeling.
• Familiarity with machine learning frameworks.
• Knowledge of data governance and data privacy regulations.

• Use statistical methods and data analytics tools to interpret data, identify trends, patterns and correlations, and draw meaningful insights that inform business decisions.
• Collect, process and analyse large datasets from multiple sources to identify trends, patterns and insights.
• Create reports and dashboards using visualisation tools to present data findings in a clear and compelling way for stakeholders, enabling them to make informed decisions.
• Design and maintain dashboards and visual reports to effectively communicate key metrics.
• Ensure data accuracy and integrity by performing quality checks and cleaning data as necessary. Present findings in a clear and concise manner to both technical and non-technical audiences.
• Implement and follow all approved Standard Operating Procedures and all defined policies of the Company as per the Quality Management System.

• Data visualization
• Statistical analysis
• Analytical mindset
• Data analysis tools (Python, R, SQL - added advantage)
• Data visualization tools (Tableau, Power BI, or equivalent)
• Statistical methods
• Predictive modeling
• Machine learning frameworks
• Data governance
• Data privacy regulations

• Bachelor's Degree in data science, statistics, computer science or a related field.
• At least 1 year of experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools such as Python, R, or SQL will be an added advantage.
• Advanced knowledge of data visualization tools (e.g., Tableau, Power Bl, or equivalent).
• Strong understanding of statistical methods and predictive modeling.
• Familiarity with machine learning frameworks.
• Knowledge of data governance and data privacy regulations.