Business Intelligence Analyst

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Business Intelligence Analyst Jobs

As a Business Intelligence Analyst, you will play a crucial role in transforming raw data into actionable insights for organizations. In today's data-driven world, businesses rely on BI Analysts to make informed decisions based on data patterns and trends. Discover the exciting opportunities in this field, learn about the latest tools like Power BI, Tableau, and Python for data analysis, and explore the competitive salary ranges offered in the market. Dive into the world of data analytics and unleash your potential as a Business Intelligence Analyst!

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Workplace Type

Onsite

Senior Level

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* Sales Data Consolidation & Reporting

1. Consolidate and validate sales data from multiple sources, including CRM, ERP systems, distributor reports, and customer sales reports etc.

2. Ensure the accuracy, completeness, and consistency of sales data across customers, products, regions, and channels.

3. Maintain customer and product master data, including account hierarchies and SKU mappings.

4. Prepare and distribute recurring sales reports, dashboards, and scorecards in a timely manner.

5. Support reporting automation and process standardization initiatives to improve efficiency.

* Customer & SKU Performance Analysis

1. Perform monthly sales performance analysis by customer, product category, brand, SKU.

2. Analyze sales trends, customer purchasing patterns, and product performance.

3. Identify growth opportunities, business risks, and underperforming customers or SKUs.

4. Monitor product portfolio performance and provide recommendations on product mix optimization.

5. Support customer business reviews and commercial discussions through data-driven insights.

6. Conduct ad hoc analysis to support business priorities and management requests.

* Sales Reporting & Business Analytics

1. Develop and maintain sales dashboards and performance reports.

2. Track and analyze key business metrics, including sales revenue, sales volume, average selling price (ASP), customer contribution, product mix, SKU productivity, sales growth trends and forecast versus actual performance

3. Generate weekly, monthly, quarterly, and annual business review materials.

4. Present analytical findings and recommendations to sales and commercial stakeholders.

* Forecasting & Sales Planning Support

1. Support sales forecasting and demand planning processes.

2. Monitor forecast accuracy and sales performance against targets.

3. Analyze forecast variances and identify trends impacting business performance.