Data Analyst

The Atlys interview process typically spans five stages: an initial resume screening, an analytical round focusing on business case studies, a 72‑hour take‑home data task, a behavioural interview to assess cultural fit, and a final technical interview with the Head of Data. Questions often revolve around SQL queries, dashboard design, and real‑world business scenarios; preparation should include hands‑on SQL practice and portfolio‑ready visualisations.

Atlys fosters a fast‑paced, merit‑based culture where ideas are judged on impact rather than hierarchy. Employees enjoy ample growth opportunities, frequent knowledge‑sharing sessions, and a balanced work‑life rhythm supported by flexible timings and team outings.

Graduates (B.Tech/B.E./B.Sc.) in Computer Science, Information Technology, Electronics, Statistics, Mathematics or related fields; 60%+ aggregate or CGPA 6.5/10; batch years 2020‑2024; maximum 2 active backlogs at the time of joining; 1‑3 years of relevant data analysis experience preferred.

Round 1: Resume Shortlist → Round 2: Analytical Round with Senior Data Analyst → Round 3: Take‑Home Task (72‑hour deadline) → Round 4: Behavioural Round with internal stakeholder → Round 5: Technical Round with Head of Data

Atlys is a fast‑growing travel‑tech startup on a mission to make global movement frictionless. By automating visa processes, the company aims to eliminate one of the biggest pain points for international travelers. Backed by a product‑led, data‑enabled culture, Atlys has scaled its user base 200x in just two years, thanks to relentless focus on data‑driven decision making across product, marketing, and finance. The organization prides itself on a collaborative environment where engineers, analysts, and product managers work side‑by‑side to turn raw data into actionable insights. Employees enjoy a flat hierarchy, rapid feedback loops, and the freedom to experiment with new tools and methodologies. The company’s culture emphasizes ownership, curiosity, and a relentless drive to solve real‑world problems that affect millions of travelers worldwide. **Role Summary** As a Data Analyst at Atlys, you will become the single source of truth for business‑critical data. You will partner with cross‑functional teams to design, build, and maintain dashboards that surface key performance indicators, support strategic planning, and drive operational efficiency. Your analytical rigor will help the company navigate growth challenges, optimize pricing and discount frameworks, and uncover hidden opportunities in the travel ecosystem. **Key Responsibilities** 1. Own end‑to‑end data pipelines, ensuring data quality and reliability for business reporting. 2. Design and develop interactive dashboards using Power BI, Tableau, Looker Studio or Metabase. 3. Translate complex business problems into clear, data‑driven solutions. 4. Conduct ad‑hoc analysis for marketing, finance, and product teams. 5. Build pricing and discount models to improve revenue and customer acquisition. 6. Monitor and report on key metrics such as conversion rates, churn, and user engagement. 7. Collaborate with engineering to define data schemas and improve data capture. 8. Mentor junior analysts and promote best practices in data visualization. 9. Prepare executive‑level presentations that communicate insights succinctly. 10. Stay updated with emerging analytics tools and suggest improvements to the analytics stack. **Tech Stack**: SQL (PostgreSQL/MySQL), Power BI/Tableau/Looker Studio, Metabase, Python (pandas, numpy), Git, basic understanding of cloud data warehouses (Snowflake/BigQuery). **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, or move into Product Analytics, Data Engineering, or Business Intelligence Management roles within 2‑3 years. **Why Join Atlys?** Competitive salary, relocation assistance, exposure to a hyper‑growth environment, and the chance to shape the future of travel. You will work alongside some of the brightest minds in the industry, gaining hands‑on experience with cutting‑edge data products that directly impact millions of users.