DATA ANALYST
Job summary
To support data-driven decision-making by collecting, cleaning, analyzing, and interpreting complex datasets in order to improve business insights and operational performance.
Job descriptions & requirements
Key responsibilities
a) Data Management and Processing
· Collect, clean, transform, and validate datasets from multiple sources.
· Build automated data pipelines using Python, SQL, or other scripting tools.
· Optimize database queries and ensure data accuracy, consistency, and reliability.
b) Data Analysis and Insights
· Analyze structured and unstructured data using statistical methods.
· Perform exploratory data analysis to identify trends, patterns, and opportunities.
· Translate data insights into actionable business recommendations.
c) Reporting and Visualization
· Create data models and visualizations that support decision-making.
· Present insights to stakeholders in a clear and compelling manner.
d) Collaboration and Stakeholder Engagement
· Work closely with business teams to understand data needs and metrics.
· Support cross-functional projects requiring data insights and analytics expertise.
· Document data processes, methodologies, and code for future reference.
e) Data Governance and Quality Assurance
· Ensure compliance with data governance, security, and privacy policies.
· Conduct data quality assessments and implement improvements.
· Maintain accurate metadata and documentation.
Dimensions
Financial Impact
Direct:
Indirect:
Assets
People
Direct:
Indirect:
External Contacts
Educational Requirements
University Degree in Computer Science, Data Science, Statistics, Math or related field
Related Job Experience/Qualifications
At least 2 -4 years’ experience in data analytics, business intelligence or data engineering
Technical skills
Programming & Coding – Python/R
Data Engineering and Automation
Visualization & Business Intelligence – Power BI
Database management
Behavioural skills
Strong analytical and problem-solving ability
Excellent communication skills
High attention to detail
Ability to work independently and collaborate cross-functionally
Curious, proactive, and data-driven mindset
Work environment
Office-based with occasional field visits as required.
May involve handling sensitive and time-critical matters.
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