Academic Requirements
Marks: 7.0+ CGPA or 70%
Degree: B.E./B.Tech/M.Tech/MCA or as per notification
Year of Study: Final year students and recent graduates (drive-dependent)
Backlogs: No active backlogs preferred at joining
Tiger Analytics delivers analytics and AI consulting for retail, CPG, and technology clients. Founded in 2011. India hubs: Chennai, Hyderabad, Bengaluru.
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Tiger Analytics placement criteria for freshers (candidate-reported, 2026) in one place:
| Filter | Typical Tiger Analytics placement criteria |
|---|---|
| Academics | 7.0+ CGPA or 70% |
| Degree | B.E./B.Tech/M.Tech/MCA or as per notification |
| Batch | Final-year students and recent graduates (drive-dependent) |
| Backlogs | No active backlogs preferred |
| Skills | SQL, Python, case, aptitude |
| Process | OA → Technical/Case → HR (Tiger Analytics Assessment) |
This Tiger Analytics placement criteria summary is what most eligibility searches are asking for. CGPA details follow immediately below.
Answer: Tiger Analytics does not always publish a single official CGPA cutoff. Based on campus JDs and candidate-reported outcomes, 7.0+ CGPA or 70% is the commonly cited preferred floor. Tiger Analytics weighs SQL, Python, case, aptitude heavily after the resume screen.
| Academic Level | On-Campus Baseline (Typical JD) | Typical Selected Candidate | Notes |
|---|---|---|---|
| Graduation | 7.0+ CGPA or 70% | Often above the listed floor | Campus cells may pre-filter |
| Hiring route | Typical CGPA filter (candidate-reported) | Notes | |
| ––––––– | —————————————— | —–– | |
| On-campus | When the college JD lists a number | Placement cell may pre-filter | |
| Off-campus | Often profile + OA driven | Resume + Tiger Analytics Assessment decide shortlists |
| CGPA Range | Selection Chances | Notes |
|---|---|---|
| Below 7 | Low (on-campus) | May still compete off-campus with exceptional skills |
| 7-7.4 | Medium | Eligible on many drives; SQL, Python, case, aptitude must be strong |
| 7.5-8 | High | Common shortlisted band with solid projects |
| Above 8 | Very High | Combined with strong technical skills |
Tiger Analytics eligibility criteria for freshers combine academic floors (when listed) with a skills bar around SQL, Python, case, aptitude. Treat numbers below as candidate-reported norms.
Academic Requirements
Marks: 7.0+ CGPA or 70%
Degree: B.E./B.Tech/M.Tech/MCA or as per notification
Year of Study: Final year students and recent graduates (drive-dependent)
Backlogs: No active backlogs preferred at joining
Skills & Focus
Primary focus: SQL, Python, case, aptitude
Languages: Python, SQL
Exam filter: Tiger Analytics Assessment
Locations
Common India locations: Chennai, Hyderabad, Bengaluru
Confirm joining location in the offer / drive notice.
Role & Compensation
Industry: Analytics & AI Consulting
Typical role: fresher / early-career roles
Fresher CTC (candidate-reported): ₹8-14 LPA
Confirm exact package in writing.
What Makes Tiger Analytics Different
Case interviews + SQL/Python coding.
Tiger Analytics Certifications
Recommended certifications and career growth paths
Free practice sets with solutions, sized for timed mocks like Tiger Analytics Assessment. Full archive: previous year question papers.
Download Tiger Analytics Placement Papers PDF (2026)
2024 Placement Papers
View Tiger Analytics placement papers 2024 with previous year questions, solutions, and exam pattern analysis.
2025 Placement Papers
View latest Tiger Analytics placement papers 2025 with current patterns and solutions.
2026 Preparation Guide
Prepare for Tiger Analytics placement 2026 with expected exam pattern and strategy.
What's Included
Complete Tiger Analytics placement paper practice (2024-2026) with questions, solutions, pattern notes, and topic organization.
Online Assessment
Aptitude Questions
Coding Questions
Preparation Guide
Interview Experience
HR Interview Questions
Campus Recruitment
Primary Method - Through college placement cells. Pre-placement talk followed by OA and interviews
Online Applications
Direct Apply - Via tigeranalytics.com careers / job portal
Referrals
Employee Referrals - Higher visibility for resume review where open
The Tiger Analytics placement process begins with resume shortlisting and Tiger Analytics Assessment.
| # | Round | Notes |
|---|---|---|
| 1 | OA | Tiger Analytics Assessment |
| 2 | Technical/Case | As per drive notice |
| 3 | HR | Values, logistics, offer |
| Phase | Duration | Key Activities |
|---|---|---|
| Resume Screening | 3-10 days | Shortlist from campus / portal |
| Online Assessment | 1 day | Tiger Analytics Assessment |
| Interview Scheduling | 2-7 days | Technical loop coordination |
| Technical / Design Rounds | 1-2 weeks | SQL, Python, case, aptitude |
| Behavioral / HR | 3-7 days | ownership, teamwork, and problem-solving, offer discussion |
| Offer Communication | 1-5 days | Written offer + joining details |
Practice with Tiger Analytics placement paper style coding and fundamentals questions. These are representative of candidate-reported OA and interview themes - not leaked live papers.
Complete Tiger Analytics Coding Questions Guide
Access coding practice for Tiger Analytics including DSA patterns, complexity notes, and interview tips.
Complete Interview Experiences Guide
Candidate-reported Tiger Analytics interview stories, question themes, and preparation tips.
Core Skills
Primary focus: SQL, Python, case, aptitude
Languages: Python, SQL
What interviewers watch: correctness, edge cases, complexity narration
Product / Domain Awareness
Industry: Analytics & AI Consulting
Design prompts to rehearse: problems relevant to Analytics & AI Consulting
Differentiator: Case interviews + SQL/Python coding.
“Tell me about a project you owned end-to-end”
Use STAR: scope, decisions, trade-offs, quantified impact.
“Hardest bug or technical challenge”
Cover diagnosis, alternatives, validation, and what you would change.
“Why Tiger Analytics?”
Tie your interests to Analytics & AI Consulting and Case interviews + SQL/Python coding. Avoid generic “brand name” answers.
Core Technical Prep
Priority: Critical
Time Allocation: ~60%
OA Simulation
Priority: High
Time Allocation: ~20%
Behavioral / Values
Priority: High
Time Allocation: ~15%
CS Fundamentals
Priority: Medium
Time Allocation: ~5%
Build fundamentals in SQL, Python, case, aptitude, start daily practice, clean resume/projects, and learn the Tiger Analytics Assessment format.
Weekly full mocks, medium-hard drills, design/product prompts (problems relevant to Analytics & AI Consulting), and mock interviews with narration.
Error-log revision only, one light mock, sleep, logistics for Chennai.
| Role band | Typical CTC (candidate-reported) | Notes |
|---|---|---|
| fresher / early-career roles | ₹8-14 LPA | Varies by location (Chennai, Hyderabad, Bengaluru) and offer year |
Confirm base / bonus / equity split on your written offer. Figures are approximate as of August 2026.
Hiring Trends 2026
Skills bar: SQL, Python, case, aptitude remains the main filter after resume screens
Differentiator: Case interviews + SQL/Python coding.
Process Notes
Primary filter: Tiger Analytics Assessment
Loop shape: OA → Technical/Case → HR
What to Practice More
Timed OA mocks, complexity narration, and domain prompts around problems relevant to Analytics & AI Consulting
Offer Reality Check
Treat ₹8-14 LPA as a reported band, not a guarantee for every role
Tiger Analytics placement papers are previous-year style practice sets covering Tiger Analytics Assessment patterns, interview themes, and solutions to help you prepare on placementpapers.app.
Yes. Tiger Analytics placement papers on placementpapers.app are free. No registration required.
Practice coverage includes recent cycles (2024-2026 prep). Patterns are updated from candidate-reported OA and interview trends.
timed assessment centered on Tiger Analytics Assessment; focus SQL, Python, case, aptitude. Focus: SQL, Python, case, aptitude. Languages: Python, SQL.
Expect themes around SQL, Python, case, aptitude, plus CS fundamentals as listed in your drive notice.
Typical stages: OA → Technical/Case → HR. Timeline often 2-6 weeks for campus batches.
About 3 major stages are commonly reported: OA, Technical/Case, HR. Exact counts vary by role.
Candidate-reported: 7.0+ CGPA or 70%; relevant degree; no active backlogs preferred; skills in SQL, Python, case, aptitude. Verify your notification.
Commonly reported floor: 7.0+ CGPA or 70%. Strong SQL, Python, case, aptitude performance still decides advancement after shortlisting.
Commonly Python, SQL. Choose one you can debug live.
Commonly reported around ₹8-14 LPA. Confirm the written offer. Locations often include Chennai, Hyderabad, Bengaluru.
Master Tiger Analytics Assessment, drill SQL, Python, case, aptitude, rehearse STAR stories for ownership, teamwork, and problem-solving, and take weekly timed mocks.
Prioritize Tiger Analytics Assessment accuracy first, keep an error log, and rehearse design/product prompts around problems relevant to Analytics & AI Consulting.
Candidates commonly report that Tiger Analytics’s first filter rewards speed with accuracy on Tiger Analytics Assessment. Successful prep patterns include timed mocks, an error log for weak topics in SQL, Python, case, aptitude, and at least one project story with metrics and trade-offs. Behavioral rounds map to ownership, teamwork, and problem-solving - prepare concrete STAR examples.