Data Analyst

Headout’s interview process typically starts with an online aptitude test followed by a technical interview that dives deep into SQL query writing, Python data manipulation, and BI dashboard case studies. The final HR round assesses cultural fit and motivation. Candidates report a moderate difficulty level with a strong emphasis on practical problem solving; preparation should focus on real‑world data scenarios.

Round 1: Online assessment (aptitude + SQL fundamentals) → Round 2: Technical interview (SQL, Python, BI tool case study) → Round 3: HR interview (cultural fit, motivations)

Headout promotes a collaborative and high‑energy work culture where employees are encouraged to experiment and own their projects. The company offers flexible working hours, regular knowledge‑sharing sessions, and clear growth pathways, ensuring a healthy work‑life balance while driving personal development.

Graduates (B.Tech/B.E., B.Sc., B.Com, MCA, or equivalent) from any stream with a minimum of 60% aggregate (or CGPA 6.0/10). Final year students of the 2025‑2026 batch are eligible. No active backlogs at the time of joining. Strong analytical mindset and willingness to learn are essential.

Headout is a fast‑growing consumer‑tech platform that curates and sells experiences ranging from city tours to adventure activities across India and several international destinations. Founded in 2014, the company leverages a marketplace model to connect travelers with local experience providers, offering a seamless booking experience through its web and mobile apps. Headout’s culture is built around agility, data‑driven decision making, and a passion for delivering memorable moments to millions of users every year. The team is a blend of seasoned professionals and enthusiastic fresh talent, fostering an environment where ideas are tested quickly and impact is visible. As a Data Analyst at Headout, you will be at the heart of the product and growth engine. You will translate raw data into actionable insights that guide product enhancements, marketing spend, and operational efficiency. Working closely with product managers, engineers, and business stakeholders, you will help shape the roadmap by providing clear, data‑backed recommendations. The role is ideal for fresh graduates who have a solid foundation in SQL, Python, and BI tools, and who are eager to grow into a full‑stack analytics professional. Key Responsibilities: 1. Write, optimize, and maintain complex SQL queries, including joins, window functions, and CTEs, to extract data from transactional databases. 2. Develop dashboards and reports using tools such as Tableau, Power BI, Looker, or Metabase to visualize key performance metrics. 3. Perform ad‑hoc data analysis to answer business questions and identify trends. 4. Automate repetitive data pipelines using Python scripts and schedule them via Airflow or similar orchestrators. 5. Collaborate with data engineering to design and improve data models and warehousing solutions. 6. Conduct A/B test analysis and provide statistical validation for product experiments. 7. Document analytical processes, data definitions, and reporting standards for cross‑team consumption. 8. Mentor junior analysts or interns on best practices in data manipulation and visualization. 9. Stay updated with emerging analytics technologies and propose enhancements to the existing stack. 10. Contribute to building a data‑driven culture by presenting findings to senior leadership in a clear, concise manner. Tech Stack: PostgreSQL / MySQL, Python (pandas, numpy), dbt, Apache Airflow, Tableau / Power BI / Looker, Git, JIRA. Growth Path: Starting as an Analyst, you can progress to Senior Analyst, Analytics Lead, and eventually into Product Analytics or Data Science roles, depending on your interests and performance. Headout encourages continuous learning through internal workshops, conference sponsorships, and access to online courses. Why Join Headout? You will work on real‑world problems that affect millions of users, gain exposure to a full analytics lifecycle, and be part of a vibrant, inclusive team that values curiosity and impact. The fast‑paced environment ensures rapid skill development and visible career growth.