Data Analyst

Headout's interview process typically starts with a timed online assessment focusing on SQL queries and basic Python data manipulation. The technical round dives into past projects, case‑study scenarios and may include a live coding exercise. The final HR round assesses cultural fit, communication skills and discusses growth opportunities. Overall difficulty is moderate to high, with emphasis on practical problem‑solving rather than theoretical knowledge.

Round 1: Online assessment – SQL and Python coding test → Round 2: Technical interview – deep dive into past projects, case studies and problem‑solving → Round 3: HR interview – cultural fit, career aspirations and compensation discussion

Headout promotes a high‑ownership culture where speed and pragmatism are valued over perfection. Employees enjoy rapid career progression, frequent cross‑team collaborations and a supportive environment that encourages continuous learning. While the pace is fast, the company emphasizes work‑life balance through flexible timings and occasional remote days.

Graduates (B.Tech/B.E., B.Sc., B.Com, BBA or equivalent) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Must have completed the 2025 batch (or graduating in 2024‑2026). No active backlogs at the time of joining. Strong analytical mindset, proficiency in SQL and Python, and exposure to BI tools are mandatory. Internships or project work in analytics, business intelligence or data science will be considered a plus.

Headout is a fast‑growing marketplace that connects travellers with real‑world experiences – from immersive tours and museum tickets to live events across more than 700 cities. Backed by over $60 million from top‑tier investors, the company has crossed the $200 million revenue mark, achieved profitability for 18 consecutive months and continues to scale its operations globally. The culture is built around ownership, speed and impact, encouraging every employee to treat the business as their own startup. With a clear focus on sustainable growth, Headout offers a stable yet dynamic environment where data‑driven decisions shape the product roadmap and market expansion. The Data Analyst role sits at the heart of this ecosystem. Reporting to senior analysts and often collaborating directly with leadership, the analyst will design, build and maintain dashboards, automated reports and analytical models that power decisions across growth, product, operations and finance. The position is deliberately broad – you may spend a week digging into conversion funnels for marketing campaigns, the next week analysing supplier economics, and later help the product team run A/B tests. This exposure ensures you develop a holistic view of a marketplace business while sharpening technical depth. **Key Responsibilities** 1. Design and develop end‑to‑end reporting solutions using SQL and a BI tool (Metabase, Looker, Tableau or Power BI). 2. Translate business questions into analytical frameworks, write complex queries with joins, window functions and CTEs, and ensure performance optimisation. 3. Automate recurring data pipelines and dashboards, reducing manual effort and improving data freshness. 4. Conduct ad‑hoc analysis for growth, product, operations and finance teams, delivering actionable insights within tight timelines. 5. Partner with senior analysts to build attribution models, funnel analyses and cohort studies that guide strategic initiatives. 6. Participate in data‑quality audits, identify gaps in source systems and recommend improvements. 7. Document analytical methodology, assumptions and findings for cross‑functional consumption. 8. Mentor junior analysts or interns on SQL best practices and BI tool usage. 9. Stay updated on emerging analytics tools (dbt, Airflow) and propose adoption where beneficial. 10. Contribute to a data‑driven culture by presenting insights in clear, visual formats to stakeholders at all levels. **Tech Stack**: PostgreSQL/MySQL, advanced SQL, Python (pandas, numpy), BI tools (Metabase, Looker, Tableau, Power BI), optional exposure to dbt, Airflow, data‑warehouse concepts. **Growth Path**: Successful analysts can progress to Senior Analyst, Analytics Lead, and eventually Head of Data & Insights, with opportunities to move into product management or strategy roles. **Why Join Headout?** The company offers a rare blend of startup agility and corporate stability. You will work on real‑world problems that affect millions of travellers, receive mentorship from seasoned data professionals, and see the direct impact of your work on business outcomes. The steep learning curve, cross‑functional exposure and competitive compensation make it an ideal launchpad for ambitious analysts.