Job Purpose:

• The Lead Data Analyst will lead the design, development, and delivery of high-quality analytical reports, dashboards, and insights that enable data-driven decisions across the business.
• The Lead Data Analyst translates business needs into analytical solutions, manages reporting workflows, and guides analysts to ensure accuracy, consistency, and value in all outputs.

Key Responsibilities:
Strategic:

• Translate business needs into data strategy and reporting priorities.
• Work with Head of Advanced Analytics to define KPIs and measurement frameworks.
• Recommend data infrastructure improvements to support analytics scalability.
• Contribute to data governance and quality assurance frameworks.

Initiatives:

• Lead development of dashboards, scorecards, and analytical reports.
• Partner with business units to define metrics, reporting logic, and use cases.
• Conduct deep-dives and ad hoc analyses to support key initiatives.
• Ensure alignment of reporting outputs with business goals.

Operational:

• Oversee the work of analysts: task allocation, reviews, and delivery tracking.
• Manage data pipelines and ensure consistent, reliable reporting.
• Conduct QA/QC on outputs and maintain documentation standards.
• Support training and onboarding of new analysts.
• Promote a culture of data literacy and analytics enablement.

Key Responsibilities:
Reporting Strategy:

• Define business KPIs and reporting standards.
• Recommend improvements to reporting systems.
• Align reporting outputs to strategy.

Business Partnering:

• Translate business needs into analytical requirements.
• Engage stakeholders to define metrics.
• Present findings and recommendations.

Dashboard and Report Design:

• Lead development of dashboards and scorecards.
• Set standards for data visualization.
• Ensure clear and actionable insights.

Advanced Analytics:

• Perform deep-dives and root-cause analysis.
• Support business decision-making with insights.

Team Oversight:

• Supervise analysts and assign tasks.
• Provide technical support and mentorship.
• Manage delivery timelines.

Quality Assurance:

• Review data outputs for accuracy.
• Ensure consistent documentation and formatting.
• Maintain data pipelines and error resolution.

Academic Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Information Systems, or related field.
• Professional Qualifications / Membership to professional bodies/ Publication:
• Certification in Business Analytics or BI tools (e.g. Power BI, Tableau, Looker).
• SQL and Data Warehousing certifications.
• (Preferred) Google Data Analytics Certificate or equivalent.

Work Experience Required:

• 5+ years in data analysis, with proven leadership in analytics projects.