Data Analytics & Scientist in the Finance Department

• Analyze complex financial data to provide actionable insights and recommendations.
• Develop, implement, and maintain financial models and forecasting tools.
• Design and execute experiments and data-driven projects to improve financial performance.
• Collaborate with cross-functional teams to identify and address challenges using data analytics.
• Utilize statistical, machine learning, and data mining techniques to analyze large datasets.
• Ensure data integrity, data governance, and adherence to compliance requirements.
• Present reports and insights to senior management.
• Assist in the preparation and analysis of financial projections for various projects.
• Automate and streamline project reporting processes.
• Prepare and analyze forex reports to support financial decision-making.
• Structure and automate MIS reporting for better data visualization and analysis.
• Automate various financial and operational reports, including those related to LCs, daily bank positions, etc.

Education & Technical skills/qualification:

• A commerce graduate with Master's degree/course in Data Analytics & Scientist: Proficiency in Python, Power BI, Advanced Excel, Ms-Office (latest version) and AI.
• Master's degree/course in Excel Dashboard: Strong skills in creating and managing interactive and dynamic dashboards for data visualization and reporting.

Experience:

• Minimum of 5 years of relevant experience in data analytics and data science, preferably in a finance-related role.
• Proficiency in data analysis tools and software such as Python, R, SQL, and advanced Excel.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of financial principles, accounting, and reporting.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Experience in predictive modeling, machine learning, and statistical analysis.