Lead Data Analyst

You will be responsible for identifying key metrics related to employee performance, engagement, retention, and satisfaction. You will collect, clean, and organize large datasets from various sources to identify trends and insights. Additionally, you will create advanced Excel models, dashboards, and reports to provide business insights. In this role, you will develop interactive dashboards and reports in Power BI to support strategic decision making. Your ability to present complex data in visually compelling formats for stakeholders will be crucial. You will utilize Python for data processing, statistical analysis, and automation of repetitive tasks. Writing scripts to integrate and analyze data from multiple systems and APIs will also be part of your responsibilities. Collaboration with cross-functional teams to understand their data needs and deliver tailored solutions is essential. You must effectively communicate findings to both technical and non-technical audiences. Furthermore, you are expected to identify opportunities for process optimization and automation. To excel in this position, you should stay updated with the latest tools, trends, and best practices in data analytics and visualization. A Bachelors or Masters degree is required. Technical proficiency in Advanced Excel skills (Pivot Tables, Macros, VBA, Power Query, etc.) and hands-on experience with Power BI (DAX, Power Query, and data modeling) is necessary. Proficiency in Python for data analysis (Pandas, NumPy, Matplotlib, Seaborn, etc.) is also required. Strong problem-solving skills, attention to detail, and the ability to interpret huge data to provide actionable recommendations are essential analytical skills. Soft skills such as excellent communication and presentation skills, as well as strong organizational and time management abilities, are key to success in this role. Required Skills: VB Macros, Python, Power BI, Advanced Excel.,