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KLDiscovery Posts Most New Data Analyst Jobs in India

Job postings for Data Analysts in India saw a significant increase over the last 28 days, driven by several employers.

By Mateo Ruiz, Mogi Research · Oct 11, 2026

In the last 28 days, employers posted one hundred fifty nine new Data Analyst jobs in India, a change of two hundred sixty one percent from the previous 28 day period. KLDiscovery posted five new roles, compared to zero previously. The EXL Talent Acquisition Team added seventeen job postings, a forty two percent rise from twelve previously. Honeywell added eight job postings, with no postings in the prior period.

This surge in postings may be due to increased demand for data analysis capabilities within these companies. It could also reflect a strategic effort by employers to build out their analytics departments in anticipation of future projects. Another possibility is that the crawl captured a concentrated release of previously planned job openings.

Looking ahead, the significant rise in Data Analyst job postings suggests continued employer interest in this field. Companies like KLDiscovery, EXL Talent Acquisition Team, and Honeywell appear to be expanding their recruitment efforts in this area. This could indicate a growing need for data-driven insights across various sectors in India.

The numbers

Which employers posted the most new data analyst jobs in India in the last 28 days?

NameLast 28 daysThe 28 beforeChange
KLDiscovery50n/a
EXL Talent Acquisition Team1712+42%
Honeywell80n/a
JPMorgan Chase80n/a
Citi51+400%

Top roles: Data Analyst (5)

More on KLDiscovery jobs on Mogi.

More on KLDiscovery

Counts are job postings, not hires, from company career sites that Mogi's crawl found. Compares the 28 days to 2026-10-11 with the 28 days before them. Covers IN, all states, Data Analyst. Employers with fewer than five postings in the last eight weeks are grouped together and left out of the rankings. The company details come from the crawl's company profiles, where the crawl has one.

Written by Mateo Ruiz of Mogi Research, with AI from the table above. Every figure in it comes from that table.

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