Data Analyst

Role Overview: As a Data Analyst at our company, you will play a crucial role in collecting, processing, and analyzing data from various online sources to support IEPF share recovery. Your expertise in Python programming, web scraping, and data analysis will be essential in providing actionable insights for business decision-making. Key Responsibilities: - **Data Scraping:** Utilize Python and web scraping techniques to extract data from financial, regulatory, and shareholding-related websites for IEPF share recovery. - **Data Cleaning & Preprocessing:** Clean, process, and structure raw data to ensure data quality and integrity for analysis purposes. - **Data Analysis & Visualization:** Analyze large datasets to derive insights on share recovery and investor shareholding trends, presenting findings through visualizations. - **Reporting:** Prepare detailed reports on share recovery patterns, trends, and forecasts based on analysis to assist in driving business decisions. - **Automation & Optimization:** Develop and maintain automated web scraping systems to update shareholding data regularly, optimizing the data pipeline for efficiency. - **Collaboration:** Work closely with business stakeholders to understand data requirements and deliver tailored reports or visualizations related to IEPF share recovery. Qualifications Required: - **Technical Skills:** - Strong proficiency in Python for data analysis and automation. - Expertise in web scraping using libraries such as BeautifulSoup, Selenium, and Scrapy. - Experience with data manipulation and analysis using Pandas, NumPy, and other relevant libraries. - Familiarity with SQL for data extraction and querying relational databases. - Knowledge of data visualization tools like Matplotlib, Seaborn, or Tableau for presenting insights. - **Experience:** - Minimum 2-3 years of experience as a Data Analyst focusing on Python programming and web scraping. - Experience with financial or investment data, particularly in IEPF, share recovery, or investor relations. - Strong problem-solving skills and ability to generate actionable insights from complex datasets. - **Additional Skills:** - Strong attention to detail and proficiency in working with large datasets. - Ability to work collaboratively in a team environment. - Familiarity with cloud platforms (e.g., AWS, Google Cloud) and data storage is advantageous. - **Education:** - Bachelors or Masters degree in Data Science, Computer Science, Statistics, Finance, or related field. - **Soft Skills:** - Strong communication skills to explain technical concepts to non-technical stakeholders. - Effective prioritization, organizational, and time management skills. (Note: Company details were not included in the provided job description.),