Data Analytics Senior Analyst

Job Summary

The Data Analytics Senior Analyst is responsible for analyzing, preparing, and presenting data to support executive decision-making, project reporting, and operational performance tracking. This role focuses on developing structured reporting, dashboards, and data solutions while continuously improving data collection, quality, and efficiency. The position collaborates with cross-functional stakeholders to deliver high-quality insights and scalable reporting capabilities.

Key Responsibilities

• Analyse, prepare data, and create reports for executive and project-level stakeholders
• Prepare data, KPIs, and metrics for executive reports and presentations
• Create various reports and dashboards for project management and executive reporting
• Design report layouts with clear, high-level summaries, KPIs, and graphical presentations
• Review existing data collection methods and identify continuous improvement opportunities
• Develop and maintain tables, templates, trackers, and structured data models
• Implement automation in data collection and reporting processes
• Ensure data accuracy, consistency, and readiness for reporting
• Identify trends, patterns, and insights from structured and unstructured data
• Support cross-functional teams with reporting and analytical needs
• Develop and enhance business intelligence solutions and dashboards
• Apply data transformation, cleansing, and standardization techniques
• Continuously improve reporting processes for speed, quality, and efficiency

Qualifications

• Minimum 8–10+ years of experience in data management and analysis
• Strong experience with databases; relational databases preferred
• Strong ability to summarize and interpret data and recognize trends and patterns
• Experience with project reporting and executive-level reporting
• Advanced user of Excel and Office tools
• Experience with PowerQuery, Power BI, and similar reporting tools
• Experience designing reports with strong visualization and presentation capabilities
• Proficiency in SQL; knowledge of M and DAX is a plus
• Programming experience (e.g., VBA or other languages) is a plus
• Experience working with data structures, templates, and tracking tools
• Strong analytical and problem-solving skills
• Strong communication skills and ability to present complex data to non-technical stakeholders
• Experience working with large datasets and multiple data sources
• Ability to work cross-functionally in a dynamic environment