Role & responsibilities
Data Collection and Cleaning: Gathering sales figures from internal Customer Relationship Management (CRM) databases and external industry reports. They fix data redundancies and ensure accuracy before analyzing.
Sales Forecasting: Predicting future sales volumes and revenue trends using past performance data, statistical models, and ongoing market shifts. This helps management set realistic quotas and manage inventory.
Performance Reporting: Creating structured dashboards, monthly evaluation reports, and graphs that summarize core key performance indicators (KPIs). These metrics usually track individual rep performance, win/loss ratios, and pipeline health.
Market and Competitor Research: Studying consumer buying patterns and keeping tabs on competitor pricing strategies.



This research helps identify untapped demographics or current geographic markets.
Cross-Functional Collaboration: Partnering with marketing to evaluate promotional campaign success and aligning with finance to analyze budget variances

Preferred candidate profile
SAP MM modules through knowledge.
Spreadsheets: Advanced Microsoft Excel or Google Sheets for heavy math and data sorting.
Business Intelligence (BI) Software: Tools like Tableau or Power BI to build interactive, easy-to-read dashboards.
CRM Systems: Platforms like Salesforce or Hubspot to extract sales activity data and evaluate representative performance.

📌 Sales Analyst Ahmedabad
🏢 Navneet Education
📍 Ahmedabad