KPI / Performance / Data Analyst

𝐉𝐎𝐁 𝐒𝐔𝐌𝐌𝐀𝐑𝐘

As a KPI Analyst, you will be responsible for analyzing and interpreting data related to key performance indicators to assess organizational performance and inform decision-making processes. You will collaborate with cross-functional teams to develop KPI frameworks, establish performance benchmarks, and track progress towards strategic goals. Your insights and recommendations will be instrumental in driving continuous improvement initiatives and optimizing business performance in the dynamic UAE market.

𝐐𝐔𝐀𝐋𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒, 𝐒𝐊𝐈𝐋𝐋𝐒 & 𝐄𝐗𝐏𝐄𝐑𝐈𝐄𝐍𝐂𝐄:

• Bachelor’s degree in Business Administration, Statistics, Mathematics, Economics, or a related field. Master’s degree is preferred.
• Demonstrated experience of 5-7 years in a similar role, showcasing expertise in data analysis and performance measurement.
• Exceptional analytical skills, capable of efficiently collecting, organizing, analyzing, and disseminating large volumes of complex data.
• Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms, enabling effective communication of insights.
• Advanced proficiency in Excel, including pivot tables, data analysis, and formulae, facilitating comprehensive data manipulation and interpretation.
• Familiarity with statistical analysis techniques and tools (e.g., R, Python) is advantageous, providing additional analytical capabilities.
• Excellent communication skills, with the ability to present complex information in a clear, concise, and easily understandable manner.

𝐉𝐎𝐁 𝐑𝐄𝐒𝐏𝐎𝐍𝐒𝐈𝐁𝐈𝐋𝐈𝐓𝐈𝐄𝐒:

• Work closely with department managers to establish and articulate key performance indicators (KPIs) that are in alignment with organizational goals and objectives.
• Develop and implement comprehensive measurement frameworks to systematically track KPIs across various departments and functions within the organization.
• Create and deploy reports, dashboards, and visualizations that effectively communicate KPI results to management at all levels, facilitating data-driven decision-making.
• Continuously monitor KPI performance against established targets and benchmarks, proactively identifying areas for improvement and recommending corrective actions as necessary.
• Conduct thorough root cause analysis to gain insights into the underlying factors influencing KPI fluctuations and performance trends.
• Keep abreast of industry trends, best practices, and emerging technologies in the realm of performance measurement and analytics, integrating relevant insights into KPI methodologies.
• Collaborate closely with IT teams to ensure data integrity, accuracy, and accessibility, thereby enabling seamless KPI reporting and analysis processes.