Analytical Manager

Here's the information about the Business Analyst role, formatted with bullets and bold subheadings: Role Objective: The Business Analyst will play a critical role in analyzing financial performance, optimizing costs & Inventory, and leveraging advanced analytical tools and AI automation to enhance business operations. This role requires a strong foundation in finance, risk management, and data analytics, combined with expertise in modern technologies like SQL, Power BI, Python, and AI. Key Responsibilities: - Conduct comprehensive financial analysis, including Inventory, costing, and forecasting, to support strategic business goals. - Identify and implement AI-driven solutions to optimize processes, enhance decision-making, and drive operational efficiency. - Utilize SQL, Power BI, and Python to extract, analyze, and visualize data for actionable insights. - Evaluate risks and develop mitigation strategies to ensure the company's financial stability and compliance. - Develop and deliver impactful presentations to communicate insights, strategies, and recommendations to stakeholders. - Collaborate with cross-functional teams to identify and solve business challenges. - Leverage advanced analytical techniques and AI tools to uncover trends and predict future business outcomes. - Optimize costing strategies across products, materials, and operations to enhance profitability. External Interfaces: - Vendors - Hallmarking Centre & Regions - Regulatory Departments Internal Interfaces: - MFG team - IT - Finance & Commercial Education: - CA / ICWA. - Additional certifications or qualifications in Data Analytics, AI, or Business Intelligence are a plus. Relevant Experience: - 5 Years experience in Analytical - preferably in the jewelry industry. - Experience in accounting/Audit processes. Behavioural Skills: - Good Analytical skills - Good Presentation skills - Teamwork - Interpersonal skills Knowledge: - Proficiency in SQL for database querying and analysis. - Expertise in Power BI for data visualization and dashboard creation. - Strong command of Python for data analytics and AI automation. - Knowledge of AI-based analytical tools and technologies. Skills: Power Bi, Sql, Cost Optimization, Financial Analysis, Python Experience: 5.00-7.00 Years