70 Reliance Retail Jobs

Role & responsibilities: :

The purpose of the Finance analyst role is to gather and analyze data, assess the financial performance and health of an organization, and make recommendations to improve its financial performance. This includes tasks such as creating financial models, analyzing budgets and forecasts, identifying trends and risks, and communicating findings to stakeholders. The goal is to provide insights and guidance that can inform decision-making and support the long-term financial success of the organization.

• Participate in the development of long-term financial strategies, plans and objectives that align with the organizations mission and goals.
• Business Planning: Conduct analysis and provide recommendations on business opportunities, market trends and competition.
• Financial Projections: Prepare financial projections and provide insights into the organizations future financial performance.
• Resource Allocation: Analyze and evaluate the allocation of resources to ensure optimal utilization of resources to achieve strategic goals.
• Performance Tracking: Develop and implement performance tracking mechanisms to monitor progress against strategic plans and objectives.
• Budgeting: Participate in the development and implementation of budgeting processes that support the organization's strategic goals.
• Risk Management: Conduct risk assessments and develop risk mitigation strategies to minimize the impact of potential risks on the organization's financial performance.
• Business Intelligence: Gather, analyze and interpret business data to provide insights into the organization's performance and future trends.
• Market Analysis: Conduct market research and analysis to identify market trends and provide insights into the competitive landscape.
• Performance Management: Develop and implement performance management processes that support the organization's strategic objectives.
• Preparation of Budget: Prepare and maintain budgeting templates, develop detailed budget plans and monitor budget performance regularly.
• Forecasting: Prepare financial forecasts using historical data and market trends, and provide regular updates to management.
• Cost Analysis: Analyze cost structures and trends to identify areas for cost reduction, and provide recommendations to management.
• Revenue Forecasting: Analyze revenue data, prepare revenue projections and provide recommendations to management on revenue growth opportunities.
• Scenario Planning: Develop various forecasting scenarios to evaluate potential outcomes and support decision-making.
• Variance Analysis: Analyze variances between actual and budgeted results and provide recommendations for improvement.
• Trend Analysis: Monitor industry trends, competitor trends and economic trends to provide insights and support decision-making.
• Risk Management: Assess and identify financial risks associated with budget and forecast outcomes and provide recommendations for mitigating such risks.
• Collaboration with Business Units: Work with business units to understand their operational plans and incorporate them into budget and forecast plans.
• Dashboard Development: Develop and maintain dashboards, scorecards and other reporting tools to provide actionable insights on business performance.
• Predictive Modeling: Use statistical analysis and machine learning algorithms to predict future trends, patterns and potential risks.
• Big Data Analysis: Work with large datasets and leverage data analytics tools to uncover insights and improve decision-making.
• Financial Forecasting: Use analytics techniques to generate accurate and timely financial forecasts.
• Cost Optimization: Utilize analytics to identify cost-saving opportunities and improve the efficiency of business operations.
• Customer Analysis: Analyze customer data to understand buying patterns, preferences and identify opportunities for growth.
• Sales Analysis: Analyze sales data to understand market trends, customer behavior and identify opportunities for growth.
• Supply Chain Analysis: Analyze supply chain data to identify bottlenecks, improve efficiency and reduce costs.
• Performance Monitoring: Monitor key performance indicators and provide regular reports on business performance.
• Data Visualization: Create data visualizations to communicate complex data insights in an easy-to-understand format.