Mathews Sabu
Reporting Analyst @Biffa
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WORK HISTORY
Reporting Analyst @Biffa
Manchester, GB
Developed interactive and visually engaging reports, dashboards, and data visualisations using Power BI and Excel to effectively communicate key insights and performance metrics to stakeholders, department heads, and senior management, enabling strategic planning and informed decision-making. • Translated large volumes of raw, unstructured data into meaningful, actionable insights by identifying relevant KPIs and trends, directly supporting data-driven initiatives across departments such as sales, operations, and finance. • Conducted detailed data analysis in Excel, using advanced functions (e.g, VLOOKUP, INDEX-MATCH, nested IFs), pivot tables, and charts to extract valuable insights, monitor performance, and recommend process improvements. • Automated recurring reporting tasks by creating streamlined data pipelines and utilising Excel macros and Power BI scheduling tools, leading to a 30% reduction in time spent preparing monthly and ad hoc reports. • Collaborated closely with cross-functional teams—including finance, operations, marketing, and IT—to identify root causes of data discrepancies, implement corrective actions, and improve the accuracy, consistency, and timeliness of reporting outputs. • Implemented comprehensive data validation, transformation, and cleansing processes across multiple systems and sources, improving overall data reliability and supporting more confident, evidence-based business decisions.
EDUCATION
Federal Institute of science and technology
Bachelor of Technology - BTech
The University of Salford
Msc
ABOUT MATHEWS SABU
A Diligent and detail-oriented Data Analyst with a strong track record of supporting business success through data-driven insights. Demonstrated expertise in analytical techniques, programming, and cross-functional collaboration to address complex challenges and contribute to organisational growth. Applied advanced skills in data analysis, processing, governance, and reporting to enhance data accuracy, streamline workflows, and inform strategic decision-making. Consistently focused on improving efficiency and ensuring high standards of data integrity to support long-term performance and innovation.
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