Manager, Data Analytics (Business and Marketing)
@ Headout

Bengaluru, Karnataka, India
On Site
Posted 4 days ago

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Job Details

About Headout

Headout is a fast-growing travel marketplace with 9-figure revenue, 100+ cities, profitability, and $60M+ raised from top-tier investors. The company is on a mission to make real-life experiences accessible and delightful.

Role Overview

This leadership role is responsible for shaping the future of growth at Headout by owning and transforming raw data into strategic insights. As the Manager, Data Analytics, you will lead the Business & Marketing data functions and influence marketing investments and expansion strategies.

Key Responsibilities

  • Define the analytical roadmap for growth and marketing.
  • Partner with senior leadership to drive strategic business decisions.
  • Build and mentor a world-class analytics team.
  • Design and analyze A/B tests and attribution models.
  • Create frameworks to measure ROI of growth initiatives.

Required Skills & Experience

  • Proven leadership and mentoring of analysts.
  • Strong commercial acumen with data-driven decision making.
  • Expertise in digital marketing analytics, including Paid Search, SEO, Affiliates, and CRM.
  • Advanced proficiency in SQL, and experience with Python or R.
  • Experience with BI tools such as Looker or Tableau.

EEO & Privacy

Headout celebrates diversity and is an equal opportunity employer. Your personal data will be retained for one year for recruitment purposes in compliance with privacy laws.

Key skills/competency

Manager, Data Analytics, Leadership, SQL, Digital Marketing, BI, A/B Testing, Attribution Modeling, Team Building, Commercial Acumen

How to Get Hired at Headout

🎯 Tips for Getting Hired

  • Research Headout's culture: Study their mission and growth story on their website.
  • Customize your resume: Highlight leadership and analytics expertise.
  • Prepare case studies: Demonstrate data-driven decision making in past roles.
  • Show technical skills: Emphasize SQL, Python/R, and BI tool experiences.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries.
Review Python or R for data analysis.
Familiarize with BI tools like Tableau.
Study modern data warehousing concepts.

Behavioral Questions

Describe a conflict resolution experience.
Explain a time you led a team.
Discuss a challenging project outcome.
Detail how you influence senior stakeholders.

Frequently Asked Questions