Company interview guide

LatentView Analytics

HQ — Chennai, Tamil Nadu, India·Public Limited·Data analytics and digital consulting

LatentView Analytics interview process guide: aptitude test, technical or case interview, and HR round for analytics and data science careers.

  • 36 open jobs
  • 2006 founded
  • Approx. 1,200 employees in India
  • Chennai headquarters
01
Company overview

About LatentView Analytics

LatentView Analytics is one of the world's largest and fastest-growing digital analytics firms, helping global clients turn data into smarter business decisions through analytics, quantitative modelling, and decision management solutions across marketing, risk, and customer strategy.

The company combines deep domain expertise in consumer lending, financial services, insurance, consumer goods, retail, and technology with strong analytics and data science capabilities, serving large enterprise clients worldwide from delivery centres in India and offices abroad.

LatentView Analytics Careers on Jobaaj typically feature openings in data analytics, data science, business consulting, and technology, hiring both freshers from top institutes and experienced analytics professionals. The company values strong quantitative skills, business acumen, and clear communication of data-driven insights.

Founded in2006
OwnershipPublic (NSE/BSE listed)
India Employee countApprox. 1,200
HeadquartersChennai, Tamil Nadu, India
Type of CompanyPublic Limited
Nature of BusinessData analytics and digital consulting
Founders Venkat ViswanathanRamesh HariharanPramad Jandhyala
02
Step by step

LatentView Analytics hiring process

1. Application and resume screening

Candidates typically apply through Jobaaj, campus placement drives, or the LatentView careers page, and recruiters shortlist profiles based on analytical and quantitative skills.

Strong academic performance in statistics, mathematics, or engineering is typically weighed heavily at this stage.

2. Online aptitude and technical test

Shortlisted candidates take an online assessment covering quantitative aptitude, logical reasoning, and basic statistics or SQL, depending on the role.

The test is typically timed and designed to filter for strong foundational analytics skills before interviews begin.

3. Technical interview

A senior analyst or manager evaluates statistical concepts, SQL or Python skills, and problem-solving ability through applied analytics questions.

Candidates are often asked to walk through how they would approach a messy or incomplete dataset.

4. Case or business problem round

Candidates work through a business case, such as improving a marketing campaign's performance using data, to assess structured thinking.

Interviewers look for clear framing of the problem, sensible assumptions, and a data-backed recommendation at the end.

5. Managerial round

A senior leader assesses client-handling potential, communication skills, and cultural fit with LatentView's consulting-driven analytics environment.

This round often explores how the candidate communicates technical findings to non-technical business stakeholders.

6. HR interview and offer

The final HR round discusses compensation, location, and joining timelines before an offer letter is extended.

HR also confirms preferred domain or client vertical based on business need.

03
What to expect

LatentView Analytics interview rounds

LatentView Analytics' interview process typically has four to five rounds, with a strong emphasis on quantitative reasoning and applied analytics problem-solving.

Round 1: Online aptitude and technical test

A 45-60 minute online test covers quantitative aptitude, logical reasoning, and basic SQL or statistics relevant to the role.

  • Probability and statistics fundamentals
  • Basic SQL queries and data interpretation

Round 2: Technical interview

A senior analyst conducts a 45-minute interview on statistical concepts, coding skills, and analytical problem-solving.

  • Explaining a regression or classification model in simple terms
  • Writing a SQL query to summarise sales data

Round 3: Case or business problem round

Candidates work through a real-world business case over 30-45 minutes, testing how they structure a problem and use data to recommend action.

  • Improving conversion for a digital marketing campaign
  • Identifying reasons behind a drop in customer retention

Round 4: Managerial round

A senior manager assesses communication, client-handling ability, and long-term fit over a 30-40 minute discussion.

  • Explaining a complex analysis to a non-technical client
  • Managing multiple project deadlines

Round 5: HR interview

The final round covers compensation, location, and joining formalities, typically lasting 20-30 minutes.

  • Salary expectations and notice period
  • Preferred domain or client vertical
04
Pay by role

LatentView Analytics salaries

DesignationAverage salary
Data Analyst
Experience: 1 - 4 years yrs
₹ 9 Lakhs /year
Typical range ₹6 L – ₹12 L/yr
Technical Lead
Experience: 6 - 10 years yrs
₹ 27.5 Lakhs /year
Typical range ₹20 L – ₹35 L/yr
Senior Software Engineer
Experience: 3 - 6 years yrs
₹ 17 Lakhs /year
Typical range ₹12 L – ₹22 L/yr
Software Engineer
Experience: 0 - 2 years yrs
₹ 6.8 Lakhs /year
Typical range ₹4.5 L – ₹9 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.

05
Practise by topic

LatentView Analytics interview questions

06
Asked in the room

LatentView Analytics interview FAQs

Q1How many rounds does the LatentView Analytics interview process typically have?

The process typically has four to five rounds, including an online aptitude and technical test, a technical interview, a case or business problem round, a managerial round, and a final HR discussion.

Q2How long does the LatentView Analytics hiring process usually take?

The process typically takes about two to three weeks from the online test to offer, though campus hiring cycles may compress several rounds into a single day of interviews.

Q3How would you explain a regression model to a non-technical stakeholder?

A strong answer avoids jargon, describes the model as finding the relationship between inputs and an outcome, uses a simple relatable example, and focuses on what the business can act on from the results.

Q4Why do you want to work at LatentView Analytics?

Focus on your interest in applied analytics and data science, LatentView's reputation as a leading digital analytics firm, and how your quantitative and business skills fit its consulting-driven, client-facing work culture.

Q5How would you approach a drop in customer retention using data?

Explain that you would segment customers to find where the drop is concentrated, analyse behaviour before churn, form hypotheses on likely causes, and validate them with data before recommending targeted retention actions.

Q6What is the typical entry point and salary structure for freshers at LatentView Analytics?

Freshers typically join as analysts or associate analysts through campus or lateral hiring; compensation usually includes a fixed component with performance-linked increments, following standard structures for analytics services firms.

Quick facts about LatentView Analytics

How do I apply for a job at LatentView Analytics?
Open roles are listed on the company's own careers page: https://www.latentview.com/career.
How many people work at LatentView Analytics?
LatentView Analytics employs approximately Approx. 1,200. Headcount figures move over time and are indicative.
Is LatentView Analytics a public or private company?
Ownership: Public (NSE/BSE listed).
Who founded LatentView Analytics?
LatentView Analytics was founded by Venkat Viswanathan, Ramesh Hariharan, Pramad Jandhyala.
Hiring now

36 open jobs at LatentView Analytics

Apply on Jobaaj, and use this guide to prepare before your first round.