June 16, 2026
Tiger Analytics wins a 2026 Databricks partner award
Databricks named the firm its Retail, Consumer Goods and Travel Hospitality C&SI Partner of the Year.
#Databricks #Award
View postA global data and AI services firm working with large enterprises across industries.
tigeranalytics.comFounded
2011Founder and CEO
Mahesh Kumar
Starting team
10 data scientists and engineers
People
More than 7,000
Clients (2023)
More than 100
Client segment
Fortune 1000 companies
Core focus
AI and analytics services
Regions
North America, Europe and Asia-Pacific
Countries listed
United States, Canada, India, Singapore, United Kingdom and Australia
Current global team
More than 7,000 technologists and consultantsTiger Analytics is a global data and artificial intelligence services firm founded in 2011 by Mahesh Kumar. It began with a team of ten data scientists and engineers in Silicon Valley and Chennai.
The firm works with Fortune 1000 companies on data engineering, analytics, machine learning and enterprise AI. Its 2023 company story reported more than 100 clients worldwide.
Tiger Analytics now reports more than 7,000 technologists and consultants across offices in North America, Europe and Asia-Pacific. Its teams serve industries including retail, consumer goods, banking, insurance, manufacturing and healthcare.
Founder and Chief Executive Officer
Co-founder and Chief Executive, India
Co-founder and Head of Business Operations
Chief Customer Officer
Interview experience
7 out of 10
Interview difficulty
7 out of 10
Interview process length
About two weeks
Practise data, coding and case questions while explaining business impact.
Q: Write a SQL query for the requested data result.
A: Clarify the table grain and expected output, build the joins and filters in stages, then test duplicates, nulls and boundary dates.
Q: Compress consecutive repeated values into value-count pairs.
A: Scan once while tracking the current value and count, append a pair when the value changes and remember to emit the final group.
Q: How would you implement a slowly changing dimension type 2?
A: Use a business key and effective dates, expire the active record when tracked attributes change and insert a new current version in one controlled operation.
Q: What is the difference between top-k and top-p sampling?
A: Top-k limits choices to a fixed number of likely tokens, while top-p uses the smallest token set whose cumulative probability reaches a threshold.
Practise data, coding and case questions while explaining business impact.
Indeed estimated average
₹22,37,689 per year
Not stated Salaries submitted
Indeed estimated average
₹17,38,338 per year
21 Salaries submitted
Indeed estimated average
₹16,67,086 per year
7 Salaries submitted
Indeed estimated average
₹16,26,998 per year
6 Salaries submitted
Indeed estimated average
₹15,99,229 per year
7 Salaries submitted
Indeed estimated average
₹14,49,474 per year
18 Salaries submitted
Compare role scope, experience and location before discussing compensation.
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Connect your data, AI or engineering work to the role's stated experience and outcomes.
June 16, 2026
Tiger Analytics wins a 2026 Databricks partner award
Databricks named the firm its Retail, Consumer Goods and Travel Hospitality C&SI Partner of the Year.
#Databricks #Award
View postApril 29, 2026
ISG names Tiger Analytics a Databricks ecosystem leader
The 2026 report recognized the firm in modernization, AI and managed data services.
#ISG #Data
View postApril 21, 2026
Tiger Analytics wins a Google Cloud partner award
Google Cloud named the firm its 2026 Data and Analytics Partner of the Year in North America.
#GoogleCloud #Award
View postFebruary 18, 2026
Tiger Analytics and Bihar plan a major AI center
The memorandum covers an AI center focused on skills, applied research and responsible public-sector adoption.
#India #Skills
View postJanuary 27, 2026
Tiger Analytics joins Snowflake's energy initiative
The collaboration combines energy domain work with Snowflake data and AI services for operations and sustainability.
#Snowflake #Energy
View postTiger Analytics provides data engineering, analytics, machine learning and enterprise AI services.