About the role
to identify key metrics related to employee performance, engagement, retention, and satisfaction.
• Data Analysis & Reporting - Collect, clean, and organize large datasets from various sources to identify trends and insights.
• Create advanced Excel models, dashboards, and reports to provide business insights.
• Data Visualization - Develop interactive dashboards and reports in Power BI to support strategic decision making. • Present complex data in visually compelling formats for stakeholders.
• Data Manipulation & Automation - Use Python for data processing, statistical analysis, and automation of repetitive tasks. • Write scripts to integrate and analyse data from multiple systems and APIs.
• Stakeholder Collaboration - Work closely with cross-functional teams to understand their data needs and deliver tailored solutions.
• Communicate findings effectively to both technical and non-technical audiences.
• Continuous Improvement - Identify opportunities for process optimization and automation.
• Stay updated with the latest tools, trends, and best practices in data analytics and visualization. KNOWLEDGE & SKILLS: • Bachelor’s / master’s degree.
• Technical Proficiency: Advanced Excel skills (Pivot Tables, Macros, VBA, Power Query, etc.).
• Hands-on experience with Power BI (DAX, Power Query, and data modelling).
• Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, Seaborn, etc.).
• Analytical Skills: Strong problem-solving skills and attention to detail.
• Ability to interpret huge data and provide actionable recommendations.
• Soft Skills: Excellent communication and presentation skills.
• Strong organizational and time management abilities.