Our client is seeking a highly experienced and strategic Senior Data Analyst to join their team.

The ideal role holder will be responsible for owning the end-to-end data analysis process sourcing, transforming, analysing, and interpreting data to support strategic decision-making and improve business performance.

Role Responsibilities:

• Partner with business stakeholders to understand goals and define success metrics aligned with business objectives.
• Translate business problems into data questions; design robust analytical approaches to solve them.
•  Develop predictive models and statistical analyses to forecast trends and identify opportunities.
•  Proactively surface insights that inform strategic priorities, customer segmentation, channel effectiveness, and operational efficiency.
• Extract, clean, and transform large datasets from multiple sources including internal databases, CRMs, marketing platforms, and cloud data warehouses.
•  Design and maintain advanced dashboards and self-service BI tools for various teams using Power BI, Tableau, or Looker.
• Implement and improve data governance, accuracy, and consistency across all analytics outputs.
• Track and evaluate KPIs across departments (marketing, finance, operations, etc.).
•  Design and conduct A/B testing and other statistical experiments to measure business impact and guide decision-making.
•  Identify bottlenecks, anomalies, and opportunities for optimization in real-time.
• Work cross-functionally with technical and non-technical stakeholders to translate insights into strategic recommendations.
• Provide mentorship and technical guidance to junior analysts and support upskilling across departments.
• Contribute to building a scalable data infrastructure and reporting framework that supports growth.

Person Specifications:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Business Analytics, Economics, or a related field.
• 4+ years of proven experience in data analytics or business intelligence, preferably in a fast-paced, data-driven organization.
• Advanced proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools (Power BI, Tableau, Looker) and building interactive dashboards.
• Solid experience with Excel for reporting and analysis.
• Proficiency in at least one programming language for data analysis (e.g., Python or R).
• Experience with statistical modelling, forecasting, and machine learning is a strong advantage
• Strong analytical mindset with attention to detail and a passion for problem-solving.
• Ability to communicate insights effectively to both technical and non-technical audiences. Excellent time management skills and the ability to work independently and lead complex projects. Experience with Python or R for data analysis.