Assistant Manager Data Analytics - Industry Growth & Key Accounts

About the role

This Assistant Manager Data Analytics role sits within the Govt. & Corporate Sales department and drives data-led business growth. It covers business performance analysis, revenue opportunities, and actionable insights to improve commercial performance, sales productivity, market expansion and decision-making. The last date to apply is 18 November 2026.

Key responsibilities

• Analyze business performance across regions, cities, products, customers and sales teams, and develop dashboards, analytical models and management reports to track KPIs, revenue trends and sales productivity.
• Support annual, quarterly and monthly planning, revenue forecasting, target setting and performance tracking, and analyze the sales funnel, conversion rates, pipeline health and field-force productivity.
• Automate recurring reports and analytical processes, and identify causes of underperformance with data-backed recommendations.
• Identify new revenue streams and business development opportunities, evaluate them through market assessments, revenue projections, financial modeling and ROI analysis, and support go-to-market plans and growth programs.
• Analyze customer portfolios for cross-selling, upselling, acquisition and retention opportunities, and collaborate with regional sales teams and product stakeholders.
• Conduct market research and competitive analysis, perform city-wise, industry-wise and product-wise market sizing, and identify high-potential corporate accounts and segments.
• Coordinate with HQ, regional sales teams and cross-functional stakeholders, track strategic initiatives, and prepare management presentations and business reviews for senior leadership.

Required profile

• Bachelor's degree in Business Analytics, Data Science, Economics, Finance, Engineering, Computer Science, Business Administration or a related discipline; MBA or a relevant postgraduate qualification preferred.
• Preferably 4-6 years of experience in business analytics, commercial planning, sales performance analytics, business intelligence, business development or related functions.
• Experience in B2B, telecom, ICT or technology-driven organizations is preferred.

Required skills

• Advanced data analytics: strong Excel, including Power Query, Pivot Tables and advanced formulas.
• Business intelligence: hands-on Power BI or similar tools for dashboards and KPI reporting.
• Preferred: SQL and/or Python for data extraction, transformation and analysis.
• Commercial acumen: revenue drivers, sales KPIs, customer profitability, sales funnels and business growth dynamics.
• Financial and business modeling: revenue forecasting, market sizing, ROI calculations, financial analysis and business cases.
• B2B sales understanding, customer segmentation and go-to-market strategies.
• Strong PowerPoint skills for executive presentations.