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Director of Analytics
Director of AnalyticsConfidential • India
Director of Analytics

Director of Analytics

Confidential • India
14 days ago
Job description

Who are we, you ask

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart's vision is to help every tech professional thrive in today's fast-evolving tech industry.

With 40+ domain-specific courses —from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA - Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors - industry practitioners, hiring managers, and senior engineers from FAANG+ companies - bring real-world insight and cutting-edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, and performance-based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statist a and GSV 150 as a top EdTech company, Interview Kickstart is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.

Position Overview

The Director of Analytics will be responsible for developing and leading the data and analytics vision across the organization. This role requires someone who is deeply data-driven , but equally commercially strategic, someone who knows how to get a team to convert data into business insights, drive measurable growth, and inform product and marketing strategy.

You'll play a pivotal role in institutionalizing a data-first culture , partnering closely with our all levels of our teams to enable faster, smarter, and more scalable decision-making across the organization. The ideal candidate is comfortable operating in ambiguity, has experience growing analytics teams, and thrives in a fast-moving, results-oriented startup environment.

Responsibilitie

  • s : Analytics Strategy & Leadership - Define and own the data analytics roadmap aligned with business goals. Take over, enhance and mentor a high-performing analytics team and establish best practices in data governance, data quality, and analytics framewor
  • ks.Business & Product Insights - Partner with Product, Marketing, Sales, and Operations teams to identify growth levers and efficiency opportunities. Enable your team to translate complex data into business narratives, dashboards, and actionable recommendations and lead experimentation framewor
  • ks.User & Revenue Grow th - Analyze acquisition, engagement, retention, and monetization metrics to uncover conversion opportuniti
  • es.Data Infrastructure & Tooli n g - Work closely with engineering to ensure scalable data pipelines and architecture. Evaluate and implement analytics tools and Ensure organization-wide access to clean, reliable dashboar
  • ds.Drive the consolidation of disparate data sources into a unified data architecture, ensuring data consistency, accessibility, and scalability across the organizati

on.

Requirem

  • ents8–14 years of experience in Data Analytics / Business Intelligence, ideally in B 2C, Ed Te ch, Fin Te ch, Consumer Inte rnet or Consult ing Industr
  • ies.Prior experience in setting up or scaling an analytics function in a growing organizat
  • ion.Proven track record in scaling data-driven stra tegy in fast-paced environme
  • nts.Business-first min dset with an ability to convert data into actionable business recommendati
  • ons.Excellent communication and stakeholder management skills; able to influence at all lev
  • els.Experience managing multi-disciplinary analytics te
  • ams.Should possess strong proficiency in AI-driven analytics platforms and methodolog
  • ies.

    Skills Required

    Data Quality, Data Governance, Data Analytics, Business Intelligence

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