Key Responsibilities:-

1 Sales Analytics & Insights:

- Develop and implement sales analytics frameworks to track and measure key performance indicators (KPIs).

- Analyze sales trends, market dynamics, and customer behaviors to identify opportunities for revenue growth.

- Provide data-driven recommendations to improve sales productivity, territory planning, and pricing strategies.

2. Forecasting & Performance Management:

- Lead sales forecasting, pipeline analysis, and quota setting for different business units and geographies.

- Work closely with sales leaders to monitor team performance, identify gaps, and optimize sales processes.

- Use predictive analytics and AI-driven insights to enhance sales effectiveness and revenue planning.

3. Reporting & Dashboards:

- Design and maintain interactive dashboards, reports, and visualizations to provide real-time insights to sales teams and leadership.

- Automate reporting processes and ensure data accuracy, consistency, and accessibility.

- Present findings and insights to senior management to drive strategic decision-making.

4. CRM & Data Management:

- Oversee the optimization and governance of sales data within CRM systems (Salesforce, HubSpot, etc.).

- Drive CRM adoption and ensure seamless integration of sales data with other business intelligence tools.

- Collaborate with IT & Data Engineering teams to enhance data quality and accessibility.

5. Collaboration & Stakeholder Management-

- Partner with Sales, Marketing, Finance, and Operations teams to align analytics with business goals.

- Support Go-to-Market (GTM) strategies through data-driven insights on customer segmentation, pricing, and promotions.

- Work with cross-functional teams to develop strategies for customer retention and upselling.

Key Qualifications & Experience:-

- 10+ years of experience in Sales Analytics, Business Intelligence, or Data Science preferably in a B2B/B2C sales-driven organization.

- Proven expertise in - sales performance management, forecasting, and pipeline analysis

- Strong proficiency in - SQL, Python, R, Excel, Tableau, Power BI, or other analytics tools

- Hands-on experience with - CRM platforms (Salesforce, HubSpot, etc.)- and data warehousing.

- Solid understanding of - pricing models, market trends, and revenue optimization techniques

- Strong business acumen with the ability to translate data into actionable business insights.

- Experience leading and mentoring analytics teams in a fast-paced, results-driven environment.

- Excellent communication and stakeholder management skills to influence decision-making.

Preferred Qualifications:

- MBA or Master's in - Data Analytics, Business, Economics, or related field

- Experience in - FMCG, Retail, SaaS, or E-commerce is a plus.

- Knowledge of - AI/ML applications in sales forecasting is desirable.

What We Offer:

- Opportunity to drive data-driven sales transformation in a high-impact role.

- Work with cross-functional teams in a dynamic and fast-growing organization.

- Competitive salary and performance-linked incentives.

- Professional development opportunities and learning programs.