Company interview guide

Absolutdata Analytics-an Infogain Company

HQ — Alameda, California, USA (India Delivery Operations)·Private (subsidiary)·AI and advanced analytics services

Absolutdata Analytics interview process: application, case or coding test, technical interview and HR round for data science careers in India.

  • 2001 founded
  • Alameda headquarters
01
Company overview

About Absolutdata Analytics-an Infogain Company

Absolutdata is an AI and advanced analytics company founded in 2001 by Anil Kaul, Sudeshna Datta and Suhale Kapoor, serving Global 500 clients with data science, marketing analytics and its NAVIK AI platform for customer and marketing insights.

The company was acquired in December 2020 by Infogain, the ChrysCapital-backed digital engineering firm, and now operates as Absolutdata Analytics, an Infogain company. Its delivery operations are largely based in India, with registered headquarters in Alameda, California, giving it access to Infogain's broader digital engineering client base.

Absolutdata hires data scientists, analytics consultants, business analysts and AI engineers, taking in both freshers with strong quantitative backgrounds and experienced analytics professionals. It values statistical rigour, comfort translating data into business recommendations, and adaptability to varied client industries.

Founded in2001
OwnershipAcquired by Infogain (December 2020); Infogain now operates as Tenarai
HeadquartersAlameda, California, USA (India delivery operations)
CEOAnil Kaul (Co-founder & CEO)
Type of CompanyPrivate (subsidiary)
Nature of BusinessAI and advanced analytics services
Founders Anil KaulSudeshna DattaSuhale Kapoor
02
Step by step

Absolutdata Analytics-an Infogain Company hiring process

1. Application

Candidates apply through the Infogain or Absolutdata careers page, job portals, campus drives for analytics programmes, or employee referrals.

2. Resume screening

Recruiters shortlist based on statistics, programming and machine-learning skills, along with prior exposure to marketing or customer analytics projects for experienced candidates.

3. Online or take-home assessment

Many roles include a coding and statistics test, or a small take-home case involving a dataset, to check practical analytical ability rather than only theory.

4. Technical interview

One or two rounds with data scientists or analytics leads cover statistics, machine-learning concepts, SQL and how you would approach a real business analytics problem.

5. Case or client-scenario round

A discussion built around a marketing or customer-analytics scenario tests structured problem-solving and ability to communicate findings to a non-technical client stakeholder.

6. HR discussion and offer

HR confirms compensation, project allocation and joining date, with offers typically shared within one to two weeks of the final round.

03
What to expect

Absolutdata Analytics-an Infogain Company interview rounds

Absolutdata's rounds are analytics-heavy throughout, reflecting its identity as a data science and AI consultancy now operating within Infogain's larger digital engineering group.

Round 1: Online or take-home assessment

Candidates solve statistics, SQL and basic machine-learning problems, or work through a small dataset to demonstrate practical analytical technique rather than only theoretical knowledge.

  • Hypothesis testing and probability basics
  • Writing SQL queries against a sample dataset
  • Choosing a suitable model for a given business problem

Round 2: Technical interview

A data scientist or analytics lead digs into statistics, machine-learning algorithms, and how you validate and explain a model's results to a client.

  • Explaining bias-variance trade-off in simple terms
  • Feature selection for a marketing analytics model
  • Handling missing or messy data in a client dataset

Round 3: Case or client-scenario round

This round presents a realistic marketing or customer analytics scenario and checks how you structure the problem, choose an approach, and communicate results to a non-technical audience.

  • Improving customer retention using available data
  • Presenting a data-driven recommendation to a client

Round 4: HR and final round

The closing round covers compensation, project or account allocation, and joining timeline, along with a check on fit with a fast-paced analytics consulting environment.

  • Why analytics consulting as a career choice
  • Comfort working across multiple client industries
04
Pay by role

Absolutdata Analytics-an Infogain Company salaries

DesignationAverage salary
Data Analyst
Experience: 1 - 4 years yrs
₹ 7.2 Lakhs /year
Typical range ₹4.8 L – ₹9.6 L/yr
Technical Lead
Experience: 6 - 10 years yrs
₹ 22 Lakhs /year
Typical range ₹16 L – ₹28 L/yr
Senior Software Engineer
Experience: 3 - 6 years yrs
₹ 13.6 Lakhs /year
Typical range ₹9.6 L – ₹17.6 L/yr
Software Engineer
Experience: 0 - 2 years yrs
₹ 5.4 Lakhs /year
Typical range ₹3.6 L – ₹7.2 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.

05
Practise by topic

Absolutdata Analytics-an Infogain Company interview questions

06
Asked in the room

Absolutdata Analytics-an Infogain Company interview FAQs

Q1How many rounds are there in the Absolutdata interview process?

Most candidates go through three to four stages: an online or take-home assessment, a technical interview, a case or client-scenario round, and a final HR discussion. Senior roles may add an additional leadership interview.

Q2How long does the Absolutdata hiring process take?

The process typically takes two to three weeks from application to offer, depending on the assessment and case-round scheduling. Background verification and documentation usually add another week before the joining date.

Q3Why do you want to work at Absolutdata Analytics?

Mention its focus on AI-driven marketing and customer analytics, the NAVIK platform, and access to Infogain's broader digital engineering client base since the 2020 acquisition. Connect this to specific analytics or data science skills you want to apply.

Q4How would you approach a customer analytics problem with limited data?

Explain starting with the business question, identifying the most reliable available data sources, and using simpler, more interpretable models when data is limited rather than defaulting to complex ones. Mention validating results and being transparent about the data's limitations with the client.

Q5Describe a data project where you had to explain results to a non-technical audience.

Choose a real example where you translated statistical findings into a clear business recommendation, using simple visuals or language instead of technical jargon. Absolutdata values analysts who can bridge data science and client communication effectively.

Q6What is the fresher salary and eligibility for Absolutdata Analytics roles?

Entry-level data science and analytics roles typically offer compensation in line with analytics consulting industry norms in India, varying by skill set and location. Eligibility usually needs a degree in statistics, engineering or a related quantitative field.

Quick facts about Absolutdata Analytics-an Infogain Company

How do I apply for a job at Absolutdata Analytics-an Infogain company?
Open roles are listed on the company's own careers page: https://www.tenarai.com/careers.
Is Absolutdata Analytics-an Infogain company a public or private company?
Ownership: Acquired by Infogain (December 2020); Infogain now operates as Tenarai.
Who founded Absolutdata Analytics-an Infogain company?
Absolutdata Analytics-an Infogain company was founded by Anil Kaul, Sudeshna Datta, Suhale Kapoor.
Who is the CEO of Absolutdata Analytics-an Infogain company?
As recorded on this profile, Anil Kaul (Co-founder & CEO) leads Absolutdata Analytics-an Infogain company. Leadership can change - check the company's own site for the current position holder.
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