Shadowfax Hiring Drive: Shadowfax Data Warriors Hiring Challenge 2025 is a great opportunity for people who are analytical, data-driven and problem-solvers who want to tackle massive, high-impact data issues. It is a unique way to recognise the talent who can turn raw data into useful insight and business plans. People with a passion for data science, technology and business problem-solving can participate in this competition to be able to land an opportunity as a Senior or Data Analyst with Shadowfax located in Bellandur, Bangalore.
About Shadowfax Data Warriors Challenge 2025
Shadowfax Data Warriors is a challenge for all levels. The Shadowfax Data Warriors challenge is created for those who thrive in a fast-paced environment and enjoy making complex things clear. With millions of deliveries occurring every day across India, Data-driven decisions are at the foundation of operating excellence. The task is to assess technical competence, analytical clarity, as well as the capacity to extract results for business from the data.
The challenge will begin on November 28th, 2025, at 6:00 pm IST and ends on December 7th, 2025, at 11:59 pm IST, which gives participants plenty of time to showcase their problem-solving abilities and ingenuity. The duration of the assessment is two hours, which is completed during the challenge period.
Role Overview
There are a variety of positions to choose from, including data analyst (CTC — 6.5 LPA) and Senior Data Analyst (CTC 8 LPA), with packages with the possibility of a variable salary. The goal of the recruitment is to find professionals with the ability to drive business intelligence initiatives, enhance logistics algorithms, and enhance the efficiency of workflows. Candidates selected for the job will be based in Bellandur, Bangalore, which is one of India’s active technology hubs.
Hiring Plan and Evaluation Structure
The registration window will be in operation for 2 weeks after the challenge begins. After registration, participants will be granted 10 days to complete the challenge.
Evaluation Structure:
- Technical MCQs: 10 questions that test the basics of data tools, visualisation and quantitative methods.
- Analytical MCQs: 10 questions to test the ability to interpret, think statistically, and problem-solving based on scenarios.
- SQL Question: 1 question to test the manipulation of data and query optimisation abilities.
- Python Issue: 1 programming challenge with a focus on data transformation or automation tasks.
Selection Process
The process of selection involves many phases, and each selected candidate must demonstrate the highest level of business and technical proficiency.
- Evaluation: Candidates must complete each challenge within the time limit.
- Tech Interview: A discussion-based round that tests the logical mind, knowledge, practical experience, as well as the ability with the tool.
- HRBP Round: An organised conversation that is used to determine the level of behavioural compatibility with communication abilities, as well as motivation for a career.
- End of Offer: The candidates who perform consistently across all phases and who meet the expectations of the business will be offered job opportunities for the appropriate positions.
Final Selection Criteria
The selection process and the final shortlisting will be based on:
- Technical and academic background
- Experience in relevant professional fields such as engineering, data analytics or related areas
- Test sections across the board
- Feedback from the interview and technical depth
Responsibilities and Expectations
The professionals who take part in this mission will play an essential part in the development of India’s new-generation logistics intelligence system. The most important contributions are:
- Understanding huge-scale logistics and supply chain problems in real-time.
- Converting data into strategic choices to improve delivery efficiency and efficiency.
- Making models and frameworks scalable to drive growth through data.
- The focus is on delivering results, creating measurable business value.
- Automating or using AI tools to reduce repetitive tasks and improve data workflows.
The job requires focus on detail, a keen eye for data patterns and the ability to master popular analytics languages like SQL or Python. Experience with visualisation platforms and cloud-based data tools is an added benefit.
Who Can Apply
The competition is open to participants from both professionals and students with backgrounds in math, engineering, economics and statistics, data science and analytics. Students who are fresh out of college and professionals who are passionate about solving difficult business issues are invited to take part.
Participants must have:
- Solid technical understanding of the data analytics concepts.
- Ability to recognise business opportunities using the use of quantitative reasoning.
- Problem-solving approach, augmented by imagination and logical thinking.
- Excellent communication and teamwork skills.