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Principal Data Analyst – B2B Business & AI-Driven Analytics

Gurugram, HR, IN

30 days ago
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Summary

Our client is a leading telecom provider with over 400 million subscribers. As a data-driven organization, we process 2 trillion events daily and store 100 PB of data, enabling smarter business decisions. With growing data demands and evolving use cases, we need faster, scalable decision-making powered by analytics and AI.


About the Role

As a Principal Data Analyst, you will define and drive the analytics strategy, ensuring customer-focused, data- backed decision-making. You will break down complex problems, create future-proof solutions, and execute them with high standards of quality. Your key stakeholders include Engineering, Business, Marketing, Customer Experience, and Product teams. We are looking for a strategic thinker and AI-driven problem solver with a deep understanding of B2B business models—including sales funnels, delivery cycles, billing, payments, collections, and customer experience. You should have a strong foundation in AI and machine learning, including Generative AI applications in business intelligence, predictive analytics, and automation. You will work closely with teams across to embed AI-powered insights into business decisions and drive B2B performance optimization.


Key Responsibilities

  • Define Analytics & AI Vision & Strategy:
  • Set the vision, define key business and product metrics, and align stakeholders
  • Develop measurement frameworks, establish AI/ML-driven insights, and ensure data quality.
  • Identify opportunities for AI-driven automation and predictive modelling.
  • Drive AI & Data-Backed Business Insights:
  • Identify and decode patterns in sales, revenue, customer experience, and financial operations (billing,collections, payments) using AI-powered forecasting and anomaly detection.
  • Apply machine learning models to improve lead-to-revenue conversion, optimize sales cycles, and reduce churn.
  • Experiment with Generative AI tools to enhance analytics storytelling, automate reporting, and create personalized insights for stakeholders.
  • Own End-to-End AI & Analytics Execution:
  • Work hands-on with data teams to define ML-driven hypotheses, run experiments, and measure impact.
  • Ensure AI-driven analytics is embedded from day 0 in product and business initiatives.
  • Identify key business problem statements, break them down into AI-powered analytics solutions, and drive clarity across functions.
  • Communicate AI-Driven Insights with Impact:
  • Translate complex AI and machine learning insights into clear, compelling, and actionable stories for senior leadership.
  • Evangelize AI and ML-driven decision-making, ensuring business and product teams harness AI’s full potential.
  • Cross-Functional Collaboration & AI Readiness:
  • Work closely with sales, marketing, experience, product, and data teams to drive AI-powered analytics initiatives.
  • Partner with engineering and data science teams to build scalable AI and ML solutions.
  • Stay at the forefront of AI/ML advancements, evaluating LLMs, Generative AI, and predictive modelling frameworks for business intelligence.


Preferred Qualifications


Experience: 10+ years in analytics, with at least 4+ years leading a team of 10+ members in a senior role.

Business Knowledge:

  • Strong understanding of B2B sales cycles, revenue models, customer journey mapping, pricing, billing and collections.
  • Deep knowledge of business KPIs, including lead conversion, order booked, revenue, churn, billing, collection and financial performance indicators.
  • AI & ML Expertise:
  • Hands-on experience with AI/ML algorithms, Generative AI, and predictive analytics for business decision-making.
  • Strong proficiency in Python, PySpark, TensorFlow, Scikit-Learn, or similar AI/ML tools.
  • Experience deploying machine learning models for revenue forecasting, churn prediction, and anomaly detection.
  • Ability to leverage LLMs (like GPT, Claude, or Gemini) to automate reporting, insights generation, and customer analytics.


Technical & Data Analytics Skills:

  • Data Strategy & Governance: Ability to define frameworks, set standards, and ensure compliance with data regulations.
  • Advanced Analytics: Proficiency in A/B testing, cohort analysis, MECE methodologies, and predictive modelling.
  • Data Infrastructure: Understanding of ETL pipelines, data warehousing, and cloud-based AI analytics platforms.
  • Data Visualization: Expertise in BI tools (Tableau, Power BI, Looker) to tell compelling stories.
  • Problem-Solving & amp; Storytelling:
  • Ability to break down complex AI problems into structured analysis and change approach when needed.
  • Strong storytelling skills, making AI insights accessible and actionable for business leaders.
  • Leadership & AI Evangelism:
  • Track record of building and scaling AI-driven analytics teams.
  • Proven ability to engage stakeholders at all levels, evangelizing AI-driven business transformation.

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