Team Lead, Strategic Pricing – Data Analytics

Job Duties and responsibilities

Run full-lifecycle pricing analysis, from data gathering and cleansing to statistical analysis and modeling. Evaluate product value propositions and current and proposed price points, and recommend ways to improve pricing performance.

Lead high-impact pricing analytics projects, owning scope, timelines and stakeholder communication.

Interpret large, complex, multi-dimensional data sets and build pricing and value models using statistical techniques.

Support Sales with deal analysis, ad-hoc data requests, and custom dashboards and reports.

Prepare pricing project updates and insights for Quarterly Pricing Reviews.

Work with leadership to prioritize business and information needs.

Help build advanced pricing tools and analytics.

Bring AI into pricing workstreams to automate analysis, reporting and recurring operational tasks.

Mentor analysts and review their work, setting standards for analysis quality and documentation.

Requirements

This is a techno-functional role. Alongside in-depth, hands-on Snowflake/SQL, Advanced Excel and BI skills, you will need to pick up business context quickly and apply it in a fast-paced, dynamic environment.

Technical skills

Strong hands-on SQL, ideally in Snowflake.

BI reporting in Sigma, Tableau or Power BI.

Advanced Excel and PowerPoint.

Working knowledge of statistics, including regression and forecasting, ideally applied to pricing and value models.

Understanding of pricing and economics concepts such as elasticity, response curves, profit-maximization models and yield management.

Python coding preferred.

Working knowledge of Salesforce and AWS cloud environments; Salesforce CPQ is a plus.

Core competencies

Proven ability to work through large, complex data sets, pull out meaningful insights, and present them clearly and coherently.

Able to understand and explain complex, sometimes abstract business problems.

Organized and detail-oriented, able to juggle multiple projects in a fast-changing, entrepreneurial environment.

Works well under pressure and tight deadlines.

Excellent written and verbal communication.

Strong business sense, ethics and integrity.

Qualifications

6–8 years of relevant analytics experience, ideally in pricing, strategy or revenue analytics.

Bachelor’s degree or BTech in Mathematics, Economics, Computer Science, Information Management, Statistics or a related field; an MBA is preferred.

Consulting experience in a strategy role is a plus.

Primary Location Gurgaon – India
Schedule Full-time – Hybrid (working hours until 9:30 PM India Time)