Data Analyst L4

Data Analyst L4

Role PurposeThe purpose of this role is to analyze and interpret data and transform it into meaningful insights through reports, dashboards, and visualizations. The role supports data-driven decision-making, improves business performance, and identifies opportunities for process optimization and automation.

Key Responsibilities1. Data Management & Project Support

• Manage the technical scope of projects in line with business and client requirements throughout the project lifecycle.
• Gather, integrate, and analyze data from multiple sources, including data warehouses and databases, to identify patterns and trends.
• Develop and maintain data and record management processes and policies.
• Build strong relationships with internal and external stakeholders and understand their data and reporting requirements.
• Provide sales data, proposals, business insights, and account reviews to clients.
• Identify opportunities to improve efficiency through process optimization and automation.
• Set up, monitor, and maintain automated data processes.
• Identify, evaluate, and implement external tools and services for data validation, cleansing, and quality improvement.
• Define, monitor, and report key performance indicators (KPIs).

2. Data Analysis & Reporting

• Collaborate with internal and external stakeholders to understand data requirements and business objectives.
• Design surveys, analyze survey results, and provide insights based on client requirements.
• Analyze complex datasets related to customer businesses and prepare reports for internal and external stakeholders using business analytics and reporting tools.
• Develop interactive dashboards, graphs, and visualizations to highlight business performance.
• Conduct industry and competitor benchmarking to support business strategy.
• Analyze large datasets, identify meaningful trends and insights, and present findings effectively to management.
• Develop predictive models and provide actionable insights based on client requirements.
• Deliverables & Performance Metrics

3. Deliverables & Performance Metrics

• Analyze data sets and provide relevant and accurate information to clients.
• Identify and implement data automation opportunities to improve process efficiency.
• Ensure timely delivery of reports, dashboards, and data analysis.
• Maintain a high level of client satisfaction and achieve strong CSAT scores.
• Ensure zero customer escalations through effective communication and issue resolution.
• Maintain high standards of data accuracy, quality, and integrity.
• Track and report key performance indicators (KPIs) to support business decisions.