Responsibilities:

📍Lead the design and implementation of data analytics strategies and frameworks to support finance functions, including financial planning, budgeting, forecasting, and financial reporting. 📍Develop a deep understanding of the company's finance systems, data sources, and information flow, identifying opportunities to enhance data quality, accuracy, and integrity. 📍Collaborate with finance and IT teams to define data requirements, validate data sources, and ensure data consistency across systems and platforms. 📍Create and maintain data models, data dictionaries, and data transformation rules to structure and refine raw finance data into usable formats. 📍Develop and implement data cleansing and validation procedures to ensure the accuracy and reliability of financial data. 📍Build and maintain robust data analytics tools, dashboards, and reports to enable self-service analytics for finance and business stakeholders. 📍Perform advanced data analysis, including statistical analysis, trend analysis, and predictive modeling, to uncover insights and patterns in financial data. 📍Stay updated on emerging trends and best practices in data analytics and financial technology, incorporating relevant advancements into the company's data analytics capabilities. 📍Ensure compliance with data privacy and security regulations, implementing appropriate measures to protect sensitive financial data.

Requirements:

📍Bachelor's degree in Data Analytics, or a related field; advanced degree preferred. 📍8+ years of experience in data analytics 📍Strong knowledge of finance principles, financial systems, and financial data structures. 📍Advanced proficiency in data manipulation, transformation, and integration using tools such as SQL, Python, R, or similar languages. 📍Experience with data visualization tools, such as Tableau, Power BI, or similar platforms, to develop interactive dashboards and reports. 📍Solid understanding of statistical analysis and predictive modeling techniques. 📍Strong analytical and problem-solving skills, with the ability to translate complex financial data into actionable insights. 📍Excellent project management skills, with the ability to prioritize and manage multiple initiatives effectively. 📍Strong communication and presentation skills, with the ability to convey complex data analysis results to non-technical stakeholders.