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Tiger Analytics
Tiger Analytics interview process for data science and analytics roles: online assessment, technical interview, case round, HR round and FAQs.
- 266 open jobs
- 2011 (13 yrs founded
- 1k-5k employees in India
- Santa Clara headquarters
About Tiger Analytics
Tiger Analytics is a data science and AI consulting firm that builds analytics, machine learning and data engineering solutions for large enterprises across banking, insurance, retail, healthcare, manufacturing and technology sectors. Working with major clients globally, the firm combines data engineers, data scientists, machine learning engineers and business consultants into client-facing teams that solve problems such as demand forecasting, risk modelling, personalisation and process automation.
Tiger Analytics has a significant presence in India, with delivery centres that support global clients around the clock, alongside offices in the United States and other countries. The firm hires strong problem solvers from engineering, statistics, mathematics and computer science backgrounds, and values people who can translate business problems into data solutions, communicate clearly with clients, and keep pace with fast-evolving tools in analytics and generative AI.
Tiger Analytics hiring process
Tiger Analytics hires data engineers, data scientists, machine learning engineers and analytics consultants through campus and lateral channels; lateral hiring typically takes two to four weeks.
1. Application and resume screening
Apply through the Tiger Analytics careers page, a job portal such as Jobaaj, or a referral. Recruiters shortlist based on relevant statistics, engineering or analytics project experience.
2. Online assessment
Candidates typically take a test covering SQL, programming, statistics and case-style data problems relevant to the specific role.
3. Technical interview
One or two rounds with data scientists or engineers on machine learning concepts, coding, data pipelines and how you have solved a real analytics problem end to end.
4. Case or client-scenario round
A business case simulating a client engagement, testing how you frame a problem, choose an approach and communicate results to a non-technical audience.
5. HR and offer discussion
HR discusses compensation, location and joining timelines, followed by background verification and an offer letter.
Tiger Analytics interview rounds
Most candidates go through three to four rounds; senior consulting roles typically add a client-communication or leadership round.
Round 1: Online assessment
A 60 to 90 minute test covering SQL, programming and statistics, with a case-style data problem for analytics roles.
- SQL queries and Python or R programming
- Probability, statistics and basic machine learning concepts
- A short case interpreting a business dataset
Round 2: Technical interview
A 45 to 60 minute round with a data scientist or engineer, focused on your projects and practical problem-solving.
- Explaining a machine learning model you built end to end
- Handling missing or messy data in a pipeline
- Choosing between different modelling approaches for a business problem
Round 3: Case or client-scenario round
A business case simulating a client engagement, testing structured thinking and communication as much as technical depth.
- Framing an ambiguous business problem into an analytics approach
- Explaining a technical result to a non-technical stakeholder
- Prioritising analyses under a tight client deadline
Round 4: HR interview
HR discusses your background, compensation expectations and interest in a consulting-style analytics career before extending an offer.
- Why analytics consulting rather than a product company
- Comfort working across multiple client engagements
- Long-term career interest in data science or AI
Tiger Analytics salaries
| Designation | Average salary |
|---|---|
Data Analyst Experience: 1 - 4 years yrs |
₹ 7.2 Lakhs /year Typical range â‚ą4.8 L – â‚ą9.6 L/yr |
Technical Lead Experience: 6 - 10 years yrs |
₹ 22 Lakhs /year Typical range â‚ą16 L – â‚ą28 L/yr |
Senior Software Engineer Experience: 3 - 6 years yrs |
₹ 13.6 Lakhs /year Typical range â‚ą9.6 L – â‚ą17.6 L/yr |
Software Engineer Experience: 0 - 2 years yrs |
₹ 5.4 Lakhs /year Typical range â‚ą3.6 L – â‚ą7.2 L/yr |
Figures are estimates based on typical market ranges for this role and sector, not company-published pay. Actual offers vary by location, skills and negotiation.
Tiger Analytics interview questions
Question banks most relevant to roles at Tiger Analytics, with model answers.
Tiger Analytics interview FAQs
Q1How many rounds are there in the Tiger Analytics interview process?
Most candidates go through an online assessment, a technical interview, a case or client-scenario round and an HR discussion. Senior or client-facing consulting roles sometimes add an extra round to assess communication and stakeholder management skills.
Q2How long does the Tiger Analytics hiring process take?
The process typically takes two to four weeks from application to offer, since it usually involves an assessment plus two or three separate interview rounds. Campus hiring drives are often completed faster, within a few days, once the assessment and interviews are scheduled together.
Q3How should I explain a machine learning project in the interview?
Describe the business problem first, then your approach to data, feature choices and model selection, and finish with the measurable impact and what you would improve with more time. Interviewers value clear reasoning and awareness of trade-offs over naming the most complex algorithm you used.
Q4What SQL and case questions come up at Tiger Analytics?
Expect SQL questions involving joins, aggregations and window functions, along with a short case asking you to interpret a business dataset or design an approach for a problem like churn prediction. Practise explaining your reasoning out loud, since structured thinking matters as much as the final answer.
Q5Why do you want to work in analytics consulting rather than a product company?
Mention the appeal of working across varied industries and problems, building strong client-communication skills alongside technical depth, and learning faster by seeing many business contexts. Relate it to your own interest in solving real business problems with data rather than only building models.
Q6What salary and eligibility should I expect at Tiger Analytics?
Compensation typically depends on role, experience and specific analytics skills, with machine learning and engineering roles generally paying more than support analytics roles. Most roles need a background in statistics, engineering, mathematics or computer science along with strong SQL and programming skills.
Quick facts about Tiger Analytics
- How many people work at Tiger Analytics?
- Tiger Analytics employs approximately 1k-5k. Headcount figures move over time and are indicative.
- Is Tiger Analytics a public or private company?
- Ownership: Private.
- Who founded Tiger Analytics?
- Tiger Analytics was founded by Mahesh Kumar.
- Who is the CEO of Tiger Analytics?
- As recorded on this profile, Pradeep Gulipalli leads Tiger Analytics. Leadership can change - check the company's own site for the current position holder.
266 open jobs at Tiger Analytics
Apply on Jobaaj, and use this guide to prepare before your first round.
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