Senior Data Analyst

This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility. Department: Data & Analytics Reports To: MD Role Overview: Our client is seeking a highly analytical and detail-oriented Senior Data Analyst to support their transition into a data-driven marketplace group. This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility. Key Responsibilities: ● Design, develop, and maintain Business Intelligence (BI) dashboards across multiple platforms to support real-time decision-making. ● Build and implement robust reporting and analytics frameworks to track and evaluate overall business performance. ● Improve lead tracking systems, attribution models, and conversion analysis to enhance marketing and sales effectiveness. ● Provide data-driven insights to support pricing strategies, sales optimization, and marketing initiatives. ● Implement and continuously improve SEO performance tracking and digital analytics tools to measure online visibility and engagement. ● Collaborate cross-functionally with teams including Sales, Marketing, Operations, and Finance to ensure data accuracy, consistency, and usability. ● Identify trends, patterns, and opportunities for growth through data analysis and reporting. ● Ensure data integrity by establishing best practices in data collection, validation, and reporting processes. Key Requirements: ● Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field. ● Proven experience in Business Intelligence, Data Analytics, or a similar role. ● Strong proficiency in BI tools (e.g., Power BI, Tableau, or similar) and data visualization techniques. ● Experience with analytics platforms such as Google Analytics and SEO tools. ● Strong understanding of data modeling, data warehousing, and reporting frameworks. ● Advanced proficiency in Excel and/or SQL; knowledge of Python or R is an added advantage. ● Strong analytical thinking, problem-solving skills, and attention to detail. ● Excellent communication skills with the ability to translate data into actionable insights for non-technical stakeholders. Key Competencies: ● Data-driven decision making ● Strategic thinking ● Cross-functional collaboration ● Attention to detail ● Continuous improvement mindset Why This Role Matters: This role is critical in enabling the organization to leverage data effectively, optimize performance, and drive growth across all regions. The successful candidate will play a key role in shaping data strategy and fostering a culture of data-driven decision-making.

• This role will be instrumental in driving business performance across all regions by delivering actionable insights, enhancing reporting capabilities, and improving data accuracy and accessibility. • Design, develop, and maintain Business Intelligence (BI) dashboards across multiple platforms to support real-time decision-making. • Build and implement robust reporting and analytics frameworks to track and evaluate overall business performance. • Improve lead tracking systems, attribution models, and conversion analysis to enhance marketing and sales effectiveness. • Provide data-driven insights to support pricing strategies, sales optimization, and marketing initiatives. • Implement and continuously improve SEO performance tracking and digital analytics tools to measure online visibility and engagement. • Collaborate cross-functionally with teams including Sales, Marketing, Operations, and Finance to ensure data accuracy, consistency, and usability. • Identify trends, patterns, and opportunities for growth through data analysis and reporting. • Ensure data integrity by establishing best practices in data collection, validation, and reporting processes. Key Requirements: • Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field. • Proven experience in Business Intelligence, Data Analytics, or a similar role. • Strong proficiency in BI tools (e.g., Power BI, Tableau, or similar) and data visualization techniques. • Experience with analytics platforms such as Google Analytics and SEO tools. • Strong understanding of data modeling, data warehousing, and reporting frameworks. • Advanced proficiency in Excel and/or SQL; knowledge of Python or R is an added advantage.