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DGM / Sr Manager - Business Analytics

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Onsite

DGM / Sr Manager - Business Analytics

Busy Infotech

DGM / Sr Manager - Business Analytics

Skills

SQL QueriesPythonData Analysis

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹2,500,000 – ₹3,000,000 / year

Location:

Delhi, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


**The role involves solving business problems by combining data analysis with on-ground business understanding to drive improvements in sales performance, customer lifecycle outcomes, partner productivity, and product usage through actionable, data-backed insights.Key Responsibilities

  • Identify and structure high-impact business problems across sales, renewals, customer adoption, and product performance
  • Engage with sales teams, partners, customers, and new markets to understand on-ground execution and behavioural gaps
  • Analyse sales, usage, and operational data to identify key patterns, correlations, and performance drivers
  • Perform funnel, cohort, and root-cause analysis across conversions, churn, upsell, cross-sell, and new product scale-up
  • Build early-warning indicators and leading metrics to flag revenue and retention risks proactively
  • Translate insights into clear, actionable recommendations and work cross-functionally to drive execution outcomes

QualificationGraduate or Post-Graduate in Engineering, Commerce, Economics, Statistics, Business, or related disciplines, or equivalent practical experience in business analytics or problem-solving roles within SaaS or platform businesses.**

**Relevant Experience

5+ years of relevant experience in business analytics, product analytics, revenue analytics, or decision-support roles within:

  • SaaS / Platform businesses (preferred)
  • Fintech, EdTech, Telecom, or subscription-led companies

Experience working closely with sales, operations, or customer-facing teams is highly desirable.

Skill Sets

  • Strong analytical, logical, and problem-structuring ability
  • Ability to frame hypotheses and validate them using data
  • Solid understanding of SaaS business metrics including sales funnels, customer lifecycle, and subscription/renewal economics
  • Hands-on capability with Excel, SQL, and/or Python
  • Strong communication, documentation, and presentation skills
  • Comfortable working in ambiguous, cross-functional, and execution-oriented environments**

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