Senior Data Analyst [ML,Python]

Experience Required: 7+ years Working Days: Monday to Friday Budget: Up to 18LPA For quick Response, please fill out the form Job Application Form https://docs.google.com/forms/d/e/1FAIpQLSeBy7r7b48Yrqz4Ap6-2g_O7BuhIjPhcj-5_3ClsRAkYrQtiA/viewform We are seeking a seasoned Data Analyst with 7–10 years of experience in data transformation, reporting, and analysis within the Insurance, Finance, or Banking domain . The ideal candidate will possess strong technical expertise in Power BI report development, data modeling, predictive analytics, and machine learning, along with a deep understanding of data lifecycle management and performance monitoring. Key Responsibilities: Transform raw data into actionable insights that support strategic business decisions. Manage the end-to-end lifecycle of data analysis projects, from requirement gathering to implementation and coordination. Develop, refine, and maintain advanced reports and dashboards using Power BI and other visualization tools. Monitor key performance metrics to ensure system optimization and identify areas for improvement. Ensure data accuracy and consistency by implementing robust quality control measures. Analyze and interpret complex datasets to identify trends, patterns, and insights for informed decision-making. Collaborate with cross-functional teams to align data strategies with business goals. Recommend and implement improvements to streamline data collection, transformation, and analysis processes. Monitor and enhance the performance of data management systems continuously. Maintain and update a centralized repository of all data-related artifacts, tools, and procedures. Perform additional functions as assigned to support data initiatives. Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Industrial Engineering, or Management. Domain experience in Insurance, Financial Services, or Banking is mandatory. Technical Skills and Expertise: Expert-level proficiency in Power BI report development. Hands-on experience with database management systems (Oracle, Microsoft SQL Server). Proficiency in UI and query tools. Familiarity with Agile development methodologies. Experience with predictive modeling, natural language processing (NLP), and text analytics. Skilled in data modeling tools (e.g., ERWin, Enterprise Architect, Visio). Proficient in data mining and ETL processes. Working knowledge of UNIX, Linux, Solaris, and MS Windows. Experience with Hadoop and NoSQL databases. Strong data visualization skills. Prior experience working in the insurance domain is essential. Hands-on experience with machine learning models and applications. Key Competencies: Strong analytical thinking and problem-solving skills. Excellent verbal and written communication. Up-to-date knowledge of emerging tools and trends in data analytics. Ability to work independently and collaboratively in cross-functional teams. Show more Show less