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.