Principal Specialist – Sales Analytics & Forecasting

NTT DATA, Inc.; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NTT DATA, Inc. is looking for an Analytics Manager in Gurugram District, India. The role involves leading analytics strategy for sales and revenue, developing AI models for forecasting, and collaborating with senior stakeholders on data insights. The ideal candidate will have 5–7 years of experience in sales analytics, preferably in IT services, with proficiency in Excel and visualization tools like Power BI. This position supports remote working and promotes diversity in the workplace.

Qualifications

• 5–7 years of experience in sales analytics or forecasting for IT services.
• Consulting experience with a focus on analytics-led sales.
• Hands-on proficiency in data visualization tools.

Responsibilities

• Lead the analytics strategy across the sales funnel.
• Develop AI-driven revenue forecasting models.
• Collaborate with sales teams to identify pipeline opportunities.
• Benchmark key sales metrics and provide strategic insights.
• Engage with stakeholders to deliver analytics-driven insights.

Skills

Sales analytics

Forecasting

Predictive Modeling

Business storytelling

Stakeholder Engagement

Tools

Excel

Power BI

Tableau

Python

R

Alteryx

Job description

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Key Responsibilities

• Sales & Revenue Analytics Strategy: Lead and evolve the analytics strategy across the sales funnel — including pipeline generation, conversion, and revenue realization. Drive insights into coverage effectiveness, lead velocity, stage transitions, slippage, and win/loss trends to uncover performance levers.
• Forecasting & Predictive Modelling: Develop and maintain AI-driven models for revenue forecasting, win probability scoring, lead-to-deal conversion, and risk identification. Use forward‑looking analytics to anticipate performance shifts and recommend data‑backed actions.
• Sales Growth Levers: Collaborate with sales leaders and account teams to identify whitespace and pipeline opportunities through data. Use analytics to guide where and how sales can be accelerated through smarter prioritization, focus areas, and targeting strategies — without anchoring on vertical‑specific GTM plans.
• Sales Strategy Alignment: Support commercial leaders by benchmarking key sales metrics (pipeline velocity, coverage ratios, funnel hygiene) and providing insights that guide initiatives like territory design, account coverage models, and productivity enhancement — framed through a data‑first lens.
• Stakeholder Engagement: Collaborate with senior stakeholders — including sales executives, operations leads, and business unit heads — to deliver analytics‑driven insights and support strategic decision‑making through dashboards, briefings, and scenario‑based analytics.

Qualifications

• 5–7 years of experience in sales analytics, forecasting, or commercial insights for IT services or B2B enterprise sales
• Tier 1 consulting experience (e.g., McKinsey, BCG, Bain) with a focus on analytics‑led sales or GTM transformation
• Hands‑on proficiency in Excel and visualization tools (Power BI/Tableau); experience with Python, R, or Alteryx is a plus
• Experience with CRM and pipeline systems (e.g., Salesforce)
• Excellent business storytelling and analytical synthesis skills

Workplace type: Remote Working

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.