Principal - Analytics

Holds a master’s degree in Statistics, Mathematics, or Engineering from a reputed institution.

Brings in experience in data handling for business analytics, machine learning, statistics, or enterprise analytics roles.

Proficiency of AI platforms and tools (at least one) and hands on experience of leveraging AI in current scope of work.

Strong communication and collaboration skills with a capability to continuously learn.

Responsibilities

Execution & Impact

Builds and scales advanced analytical engines (predictive, prescriptive, simulation-based) to support transformation initiatives across service lines.

Owns enterprise performance management—setting Q&P goals, publishing executive insights, and driving continuous improvement.

Establishes risk analytics frameworks to proactively identify, predict, and mitigate delivery and operational risks.

Adoption & Change Management

Drives institutionalization of analytics through platforms, automation, and enterprise-wide adoption programs.

Designs and leads change management initiatives to embed a data- and AI-driven culture across stakeholders.

External Thought Leadership & Benchmarking

Represents the organization in industry forums; builds IP, POVs, and whitepapers on analytics and AI-led transformation.

Defines and executes benchmarking strategies leveraging internal data, competitive intelligence, and industry datasets.

Enhances stakeholder experience using advanced analytics on CSAT, ESAT, IPSAT, and behavioral data.

AI & Emerging Capabilities

Demonstrates working knowledge of designing and deploying simple AI agents/use cases (e.g., using MS copilot for generating automated actionable insights).

Has exposure to modern AI tools and platforms (e.g., GenAI ecosystems, ML platforms, enterprise AI studios) and drives their adoption within analytics workflows.

Technical requirements

Skills

Enterprise Analytics

AI / GenAI / Copilot

Predictive & Prescriptive Analytics

Benchmarking & KPI Governance

Productivity & Quality Measurement

Performance Management

Data Science & Statistics

Power BI / BI Platforms

Executive Reporting and Leadership Dashboards

Additional responsibilities

Experience

10–15 years

Qualifications

M.Sc. in Statistics from a reputed institution, or

Engineering degree with relevant analytics and AI experience

Preferred Locations

Bangalore

Pune

Chennai

Hyderabad

Mysore

Education

Bachelor of Engineering