About the job
Sales analyst should be a data-driven problem solver who can use his/her analytical skills to create and manipulate large data sets. Should be proficient in data visualization and should be able to automate repetitive tasks.
They should be able to work effectively with a wide range of stakeholders, from senior management to individual sales team members, and be able to communicate their insights and recommendations clearly and persuasively.
Coordinating the budgeting and forecasting process: The sales analyst works with the TM, LSC and Areas develop sales forecasts and budgets for the region, based on historical data, market trends, and other relevant factors.
Analyzing budget and forecast data: Analyses the budget and forecast data to identify any discrepancies, trends, or areas where adjustments may be needed.
Presenting budget and forecast data: The sales analyst should present the budget and forecast data to senior management and other stakeholders in a clear and concise manner, highlighting key insights and areas of concern.
Provide insights through dashboards into sales performance, Market shares and commodity mix and identify areas for improvement.
Monitoring performance: Monitor sales performance in the region on an ongoing basis, comparing actual results to the budget, Utilizations and identify any deviations that may require corrective action.
Conducting sales performance evaluations: The sales analyst should evaluate individual sales team members’ performance against established metrics and identify opportunities for improvement.
Sales incentive: The sales analyst should analyze sales data to determine the criteria for earning incentives, such as sales volume, revenue, or Contribution margins.
Providing recommendations: Based on the budget and forecast data, the sales analyst should provide recommendations on how to optimize sales performance in the region, such as adjusting pricing strategies or any other segmentations.
Ability to create and manipulate large datasets using advanced Excel functions.
Proficient in data visualization and analysis through Excel charting and or power BI
Capability to automate repetitive tasks and generate reports using Excel’s VBA programming language.
Proficient in organizing and sorting large datasets through data cleansing and filtering.
Ability to generate forecasts and statistical analysis using Excel’s data analysis tools.
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