Data Analyst

• Collect, organize, and analyze data from multiple business systems.
• Develop interactive dashboards and reports to monitor business performance.
• Write SQL queries to extract and validate information from databases.
• Identify trends, patterns, and performance indicators within datasets.
• Prepare analytical reports and present findings to stakeholders.
• Perform data cleansing, reconciliation, and quality checks.
• Work with business teams to define reporting requirements and KPIs.
• Automate recurring reports and improve data analysis processes.
• Provide data-driven recommendations to improve business operations.
• Maintain documentation for reports, dashboards, and analytical processes.

This role involves transforming complex business data into meaningful insights that support strategic planning and operational decisions. The successful candidate will combine strong analytical capabilities with expertise in SQL, Python, and business intelligence tools to identify trends, develop reports, and communicate actionable findings., * Advanced proficiency in SQL, including complex joins, subqueries, and window functions.

• Hands-on experience with Python libraries such as Pandas and NumPy.
• Strong knowledge of Power BI, Tableau, or similar visualization platforms.
• Experience with Excel, Pivot Tables, Power Query, and advanced formulas.
• Understanding of data cleaning, transformation, and validation techniques.
• Knowledge of statistical analysis and data interpretation.
• Experience working with relational databases and cloud data platforms.
• Familiarity with KPI development, dashboard reporting, and business intelligence.
• Ability to analyze large datasets and identify data quality issues., * 4-7 years of professional experience in data analytics or business intelligence.
• Strong hands-on experience with SQL and data visualization tools.
• Experience developing business dashboards and management reports.
• Practical knowledge of Python-based data analysis.
• Experience analyzing structured datasets and business performance metrics.
• Ability to translate complex data into clear business insights.
• Strong communication, presentation, and problem-solving abilities., * Bachelor’s degree in Statistics, Applied Mathematics, Economics, Business Analytics, or Information Systems.
• Postgraduate qualification in Data Analytics, Quantitative Analysis, or Business Intelligence is beneficial.
• Certifications such as Microsoft Power BI Data Analyst Associate (PL-300), Tableau Certified Data Analyst, or Google Data Analytics Professional Certificate are preferred.
• Experience working on real-world analytical projects and dashboard portfolios is an added advantage.