{"id":5142,"date":"2026-10-05T15:12:31","date_gmt":"2026-10-05T09:42:31","guid":{"rendered":"https:\/\/skillarbitra.ge\/blog\/?p=5142"},"modified":"2026-10-05T15:12:34","modified_gmt":"2026-10-05T09:42:34","slug":"data-analyst-salary-in-india-per-month","status":"publish","type":"post","link":"https:\/\/skillarbitra.ge\/blog\/data-analyst-salary-in-india-per-month\/","title":{"rendered":"Data Analyst Salary In India Per Month"},"content":{"rendered":"    \n<p>A data analyst salary in India per month works out to roughly \u20b925,500 in hand in the first year, and \u20b952,350 to \u20b958,050 a month at three to six years of experience. Those figures convert annual bands of \u20b93.6 lakh to \u20b95.2 lakh and \u20b97.2 lakh to \u20b97.9 lakh, which AmbitionBox published on 2 October 2026 from about 1.5 lakh self-reported salaries. The monthly number is not the annual package divided by twelve. Employer provident fund and the gratuity provision both sit inside cost to company and never reach a bank account, which opens a gap of about \u20b97,600 a month on a \u20b97.2 lakh offer.<\/p>\n<!-- SNIPPET-BAIT END -->\n\n<hr>\n\n<nav class=\"ls-toc\" aria-label=\"Table of contents\">\n<h2>Table of Contents<\/h2>\n<ol class=\"ls-toc-list\">\n<li><a href=\"#h2-1\">Data analyst salary in India per month by experience<\/a>\n<ul>\n<li><a href=\"#h3-1a\">Freshers, 0 to 1 year<\/a><\/li>\n<li><a href=\"#h3-1b\">1 to 3 years<\/a><\/li>\n<li><a href=\"#h3-1c\">3 to 6 years<\/a><\/li>\n<li><a href=\"#h3-1d\">6 to 9 years<\/a><\/li>\n<li><a href=\"#h3-1e\">Data analyst salary in India per month by city<\/a><\/li>\n<li><a href=\"#h3-1f\">Why the trackers disagree<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#h2-2\">From CTC to what reaches your account<\/a>\n<\/li>\n<li><a href=\"#h2-3\">FAQs<\/a>\n<\/li>\n<li><a href=\"#h2-4\">References<\/a>\n<ul>\n<li><a href=\"#h3-4a\">Salary data<\/a><\/li>\n<li><a href=\"#h3-4b\">Provident fund, professional tax and income tax<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<\/nav>\n\n<hr>\n\n<p>Two rule changes make most of the monthly figures published for this role wrong right now. The provident fund wage ceiling rose from \u20b915,000 to \u20b925,000 on 17 September 2026, the first increase since 2014, which pushed the maximum employee contribution from \u20b91,800 a month to \u20b93,000. Counting both sides of that contribution, it takes up to \u20b92,400 a month out of take-home, and the full effect lands on any package above \u20b96 lakh.<\/p>\n<p>The second change is older and missed more often. Income tax is nil across the whole first nine years in this role under the new regime, because a salaried person pays nothing up to \u20b912.75 lakh of gross salary. Any page still describing tax as the thing that eats into a \u20b96 lakh package is quoting a regime that stopped applying to it.<\/p>\n\n<a id=\"h2-1\"><\/a><\/p>\n<h2 id=\"data-analyst-salary-in-india-per-month-by-experience\">Data analyst salary in India per month by experience<\/h2>\n<p>The monthly in-hand range across the first nine years runs from about \u20b925,500 to about \u20b985,700, and the single largest jump inside it arrives at the three-year mark.<\/p>\n<p>The reference spine below is <a href=\"https:\/\/www.ambitionbox.com\/profile\/data-analyst-salary\" target=\"_blank\" rel=\"noopener\">AmbitionBox<\/a>, chosen on sample size: roughly 1.5 lakh self-reported salaries, updated 2 October 2026, against 2,389 profiles at Payscale and 428 submissions at levels.fyi. Its headline band for the role is \u20b96.5 lakh to \u20b97.2 lakh a year across zero to six years of experience, and it records 16% growth in the average over the two years to 2026.<\/p>\n<p>Every monthly figure in this section rests on four stated assumptions, so they are worth putting on the table once. Basic pay sits at 50% of cost to company, which is the common split in Indian payroll, and provident fund runs at 12% of basic, capped at the \u20b925,000 ceiling.<\/p>\n<p>The other two are smaller. Gratuity provision takes 4.81% of basic, and professional tax takes \u20b9200 a month, with the new tax regime applied throughout.<\/p>\n<a id=\"h3-1a\"><\/a>\n<h3 id=\"freshers-0-to-1-year\">Freshers, 0 to 1 year<\/h3>\n<p>AmbitionBox puts the first-year band at \u20b93.6 lakh to \u20b95.2 lakh a year, which converts to <strong>\u20b925,500 to \u20b936,900 a month<\/strong> in hand.<\/p>\n<p>Worked at the bottom of the band, the arithmetic goes like this: <em>a \u20b93.6 lakh package gives basic pay of \u20b915,000 a month, so employer provident fund takes \u20b921,600 a year and the gratuity provision takes \u20b98,658, leaving gross salary of \u20b93,29,742 or \u20b927,479 a month. Deduct the employee&#8217;s own \u20b91,800 of provident fund and \u20b9200 of professional tax, and \u20b925,479 lands.<\/em> Income tax does not enter at this level at all.<\/p>\n<p>One caveat matters more than the figure. That band rests on 30 reported salaries, against 82,800 in the next row up, which makes it the thinnest row on the page and unfortunately the row most readers of this article want. <a href=\"https:\/\/www.payscale.com\/research\/IN\/Job=Data_Analyst\/Salary\" target=\"_blank\" rel=\"noopener\">Payscale&#8217;s India data<\/a> is better sampled here, putting the entry-level average at \u20b94,13,462 from 576 profiles, and it sits comfortably inside the AmbitionBox band rather than contradicting it.<\/p>\n<p>Freshers comparing routes into analytics against other entry-level remote tracks will find the same pattern in adjacent roles, and <a href=\"https:\/\/skillarbitra.ge\/blog\/salesforce-admin-jobs-for-indian-freshers\/\" target=\"_blank\" rel=\"noopener\">Salesforce admin jobs for Indian freshers<\/a> sets out one of them.<\/p>\n<a id=\"h3-1b\"><\/a>\n<h3 id=\"1-to-3-years\">1 to 3 years<\/h3>\n<p>The band tightens to \u20b95.2 lakh to \u20b95.7 lakh, or <strong>\u20b936,900 to \u20b940,450 a month<\/strong> in hand, and this is the best-sampled row on the whole page at 82,800 salaries.<\/p>\n<p>Read the width of it rather than the midpoint. Two full years of experience moves the monthly figure by about \u20b93,550, which is less than most people expect and less than a single title change delivers later. Payscale corroborates the top end, putting its early-career average at \u20b95,65,999 from 1,588 profiles.<\/p>\n<p>This is the band where the September provident fund change starts to be felt. At a \u20b95.2 lakh package, basic pay of \u20b921,667 a month used to sit above the old \u20b915,000 ceiling, so contributions were capped at \u20b91,800 on both sides. They are now calculated on the full \u20b921,667, which costs the employee \u20b9800 a month directly and another \u20b9800 indirectly, because the employer&#8217;s larger share comes out of the same cost-to-company envelope.<\/p>\n<p>So \u20b91,600 a month against what the identical package would have paid in August, rising to the full \u20b92,400 once basic reaches \u20b925,000. The effect gets larger further up the ladder, not smaller.<\/p>\n<a id=\"h3-1c\"><\/a>\n<h3 id=\"3-to-6-years\">3 to 6 years<\/h3>\n<p>Here the band jumps to \u20b97.2 lakh to \u20b97.9 lakh, giving <strong>\u20b952,350 to \u20b958,050 a month<\/strong> in hand on 66,200 reported salaries.<\/p>\n<p>That is a step of roughly \u20b912,000 a month over the one-to-three-year row, and it is the largest single move in the ladder. Nothing further along the experience curve matches it in percentage terms.<\/p>\n<p>Something useful happens to the deductions at this point too. Basic pay crosses \u20b925,000 a month somewhere inside this band, which means provident fund locks at \u20b93,000 and stops rising. Every additional rupee of package from here flows through to the account at a better rate than it did below the ceiling. Power BI, SQL and Python are the skills that AmbitionBox associates with the higher end of this band, and <a href=\"https:\/\/skillarbitra.ge\/blog\/freelance-power-bi-work-where-to-find-it\/\" target=\"_blank\" rel=\"noopener\">freelance Power BI work<\/a> is one way to put the same skill on a second invoice.<\/p>\n<a id=\"h3-1d\"><\/a>\n<h3 id=\"6-to-9-years\">6 to 9 years<\/h3>\n<p>The band runs from \u20b97.7 lakh to \u20b911.3 lakh, which is <strong>\u20b956,400 to \u20b985,700 a month<\/strong> in hand. The sample is thin again at 58 salaries, so treat it as indicative.<\/p>\n<p>The width is the finding. A spread of \u20b93.6 lakh a year means the job title has stopped predicting pay by this stage, and industry, employer and skill mix are doing the work instead. Two analysts with identical tenure can sit \u20b929,000 a month apart.<\/p>\n<p>Worth stating plainly, because it surprises people: there is still no income tax at the top of this band. An \u20b911.3 lakh package produces gross salary of about \u20b910.67 lakh, and the standard deduction plus the Section 87A rebate wipe out the liability entirely.<\/p>\n<a id=\"h3-1e\"><\/a>\n<h3 id=\"data-analyst-salary-in-india-per-month-by-city\">Data analyst salary in India per month by city<\/h3>\n<p>Bengaluru leads on monthly in-hand at about \u20b952,750, and Chennai sits last among the five largest markets at about \u20b947,900, which puts the whole spread at roughly \u20b94,850 a month.<\/p>\n<table>\n<thead>\n<tr>\n<th>City<\/th>\n<th>Annual band<\/th>\n<th>Salaries reported<\/th>\n<th>Monthly in-hand at midpoint<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Bengaluru<\/td>\n<td>\u20b96.9L to \u20b97.6L<\/td>\n<td>34,800<\/td>\n<td>\u20b952,750<\/td>\n<\/tr>\n<tr>\n<td>Hyderabad<\/td>\n<td>\u20b96.7L to \u20b97.4L<\/td>\n<td>18,200<\/td>\n<td>\u20b951,150<\/td>\n<\/tr>\n<tr>\n<td>New Delhi<\/td>\n<td>\u20b96.6L to \u20b97.3L<\/td>\n<td>11,000<\/td>\n<td>\u20b950,500<\/td>\n<\/tr>\n<tr>\n<td>Pune<\/td>\n<td>\u20b96.5L to \u20b97.2L<\/td>\n<td>16,900<\/td>\n<td>\u20b949,500<\/td>\n<\/tr>\n<tr>\n<td>Chennai<\/td>\n<td>\u20b96.3L to \u20b97.0L<\/td>\n<td>10,800<\/td>\n<td>\u20b947,900<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>New Delhi is the interesting row. It carries a lower annual band than Pune, \u20b96.6 lakh to \u20b97.3 lakh against \u20b96.5 lakh to \u20b97.2 lakh at the midpoint, and still lands \u20b91,000 a month more in hand. Delhi levies no professional tax at all, and neither do Haryana or Uttar Pradesh, so the whole of the National Capital Region keeps \u20b9200 a month that Karnataka, Maharashtra, Telangana and Tamil Nadu all take. A small number that reverses a city ranking.<\/p>\n<p><a href=\"https:\/\/in.indeed.com\/career\/data-analyst\/salaries\" target=\"_blank\" rel=\"noopener\">Indeed&#8217;s India data<\/a>, updated 23 September 2026, orders the cities differently, with Gurgaon top at \u20b98,07,866 a year, then Bengaluru at \u20b97,75,370 and Noida at \u20b97,41,250. The two sources are not really in conflict. Indeed is working from 572 reported salaries against AmbitionBox&#8217;s 1.5 lakh, and at that sample size a single well-paid employer can move a city up the table.<\/p>\n<a id=\"h3-1f\"><\/a>\n<h3 id=\"why-the-trackers-disagree\">Why the trackers disagree<\/h3>\n<p>Five trackers report the same job title in the same country at \u20b95.77 lakh, \u20b96.24 lakh, \u20b96.50 lakh, \u20b96.5 to \u20b97.2 lakh and \u20b914.68 lakh a year. The spread between the lowest and the highest is 2.5 times.<\/p>\n<p>Payscale puts the average base salary at \u20b95,77,472 from 2,389 profiles, last updated 10 July 2026, and Indeed reports \u20b96,23,730 from 572 salaries. Glassdoor&#8217;s India page, on employee-reported figures visible in indexed results, gives \u20b96,50,000 from 11,949 submissions as of June 2026, with a 25th percentile of \u20b94,30,250 and a 90th of \u20b916,95,800.<\/p>\n<p>AmbitionBox gives the \u20b96.5 lakh to \u20b97.2 lakh band from 1.5 lakh salaries. And levels.fyi reports a median total compensation of \u20b914,68,435 from 428 submissions.<\/p>\n<p>Three documented differences explain the gap, and none of them is error.<\/p>\n<p>The first is what gets counted. Payscale reports base salary; levels.fyi reports total compensation including stock and bonus. On the same person those are different numbers.<\/p>\n<p>The second is sample size, and 428 against 1.5 lakh is not a close contest.<\/p>\n<p>The third is population, and it does most of the work. The top three employers on the levels.fyi page are Walmart at \u20b941.4 lakh, Amazon at \u20b939.7 lakh and JPMorgan Chase at \u20b933.3 lakh, so the figure describes analysts at global product companies. AmbitionBox&#8217;s largest single industry sample is 47,600 salaries in IT services and consulting, at \u20b95.7 lakh to \u20b96.3 lakh. Both numbers are accurate about the group they sampled.<\/p>\n<p>The practical rule that falls out of this: match the tracker&#8217;s population to your own situation before believing its number, and treat any lone &#8220;average salary&#8221; figure as unusable. It also explains why peer-reported threads often feel more honest than aggregator averages. They usually are closer to a specific population, which is their strength, and they are still describing one population rather than the market, which is their limit. The same spread shows up in other salary clusters, and the <a href=\"https:\/\/skillarbitra.ge\/blog\/enrolled-agent-salary-in-india\/\" target=\"_blank\" rel=\"noopener\">enrolled agent salary in India<\/a> figures behave the same way.<\/p>\n<!-- INFOGRAPHIC-01 -->\n\n<hr>\n<p>\n\n<figure class=\"ls-infographic-wrap\" style=\"margin:2rem 0;\">\n<div class=\"sa-ig-wrap-dasal-ladder\" style=\"margin:2rem 0;max-width:900px;\">\n<style>\n.sa-ig-dasal{font-family:-apple-system,BlinkMacSystemFont,\"Segoe UI\",Roboto,sans-serif;color:#212121;background:#fff;max-width:900px;margin:28px auto;border:1px solid #e0e0e0;border-radius:8px;overflow:hidden;}\n.sa-ig-dasal *{box-sizing:border-box;}\n.sa-ig-dasal .title-bar{background:#2941ba;color:#fff;padding:20px 24px;font-size:20px;font-weight:700;text-align:center;line-height:1.3;}\n.sa-ig-dasal .subtitle{display:block;font-size:14px;font-weight:400;margin-top:6px;opacity:.92;}\n.sa-ig-dasal .content{padding:22px 24px 8px;}\n\n.sa-ig-dasal .chain-label{font-size:11.5px;font-weight:800;text-transform:uppercase;letter-spacing:.06em;color:#616161;margin:0 0 9px;}\n.sa-ig-dasal .chain{display:grid;grid-template-columns:1fr 1fr 1fr;gap:10px;margin-bottom:20px;}\n.sa-ig-dasal .step{border:1px solid #e3e7f4;border-radius:6px;padding:12px 13px;background:#f7f8fd;position:relative;}\n.sa-ig-dasal .step .n{font-size:10.5px;font-weight:800;letter-spacing:.05em;text-transform:uppercase;color:#7986cb;display:block;margin-bottom:5px;}\n.sa-ig-dasal .step .fig{font-size:21px;font-weight:800;color:#16205c;line-height:1.1;display:block;}\n.sa-ig-dasal .step .per{font-size:11px;font-weight:700;color:#616161;}\n.sa-ig-dasal .step .say{display:block;font-size:12px;line-height:1.4;color:#455a64;margin-top:7px;}\n.sa-ig-dasal .step .cut{display:block;font-size:11.5px;line-height:1.4;color:#b3261e;font-weight:700;margin-top:6px;}\n.sa-ig-dasal .step.last{background:#eaf5ec;border-color:#bfdfc6;}\n.sa-ig-dasal .step.last .fig{color:#14562a;}\n.sa-ig-dasal .step.last .n{color:#2e7d4f;}\n\n.sa-ig-dasal .grid{display:grid;grid-template-columns:150px 1fr 1fr 118px;border:1px solid #e3e7f4;border-radius:6px;overflow:hidden;}\n.sa-ig-dasal .hcell{padding:11px 13px;font-size:11.5px;font-weight:800;line-height:1.3;color:#fff;background:#2941ba;text-transform:uppercase;letter-spacing:.03em;}\n.sa-ig-dasal .hcell.b{border-left:1px solid rgba(255,255,255,.28);}\n.sa-ig-dasal .ecell{padding:12px 13px;font-size:13.5px;font-weight:800;line-height:1.3;color:#16205c;background:#f7f8fd;border-top:1px solid #e8ebf6;}\n.sa-ig-dasal .cell{padding:12px 13px;font-size:13.5px;line-height:1.4;color:#212121;border-top:1px solid #e8ebf6;border-left:1px solid #e8ebf6;}\n.sa-ig-dasal .cell.net{font-weight:800;color:#14562a;background:#fbfdfb;}\n.sa-ig-dasal .cell.n{font-size:12px;color:#616161;font-weight:700;}\n.sa-ig-dasal .cell.n .thin{display:block;font-size:10.5px;font-weight:800;color:#b3261e;text-transform:uppercase;letter-spacing:.04em;margin-top:3px;}\n.sa-ig-dasal .row-senior .ecell{background:#eef1f9;}\n.sa-ig-dasal .row-senior .cell{background:#fcfcff;}\n.sa-ig-dasal .row-senior .cell.net{background:#f4faf5;}\n\n.sa-ig-dasal .notes{margin:16px 0 0;display:grid;grid-template-columns:1fr 1fr;gap:11px;}\n.sa-ig-dasal .note{padding:11px 13px;font-size:12.5px;font-weight:600;line-height:1.5;border-radius:0 4px 4px 0;}\n.sa-ig-dasal .note.tax{background:#eaf5ec;border-left:4px solid #2e7d4f;color:#113d20;}\n.sa-ig-dasal .note.pf{background:#fff8e8;border-left:4px solid #feae2d;color:#3d2900;}\n.sa-ig-dasal .note strong{font-weight:800;}\n\n.sa-ig-dasal .assume{margin:14px 0 0;font-size:11.5px;line-height:1.5;color:#757575;}\n.sa-ig-dasal .src{padding:12px 24px 0;font-size:11.5px;line-height:1.5;color:#757575;}\n.sa-ig-dasal .brandbar{margin-top:14px;padding:12px 24px;border-top:1px solid #e0e0e0;background:#fafbff;display:flex;align-items:center;justify-content:flex-end;}\n.sa-ig-dasal .brandbar img{height:30px;width:auto;display:block;}\n\n@media (max-width:640px){\n  .sa-ig-dasal .grid{grid-template-columns:1fr;}\n  .sa-ig-dasal .hcell{display:none;}\n  .sa-ig-dasal .cell{border-left:0;}\n  .sa-ig-dasal .chain{grid-template-columns:1fr;}\n  .sa-ig-dasal .notes{grid-template-columns:1fr;}\n}\n<\/style>\n\n<div class=\"sa-ig-dasal\">\n  <div class=\"title-bar\">\n    What a data analyst in India actually banks each month\n    <span class=\"subtitle\">AmbitionBox annual bands, read 2 October 2026, converted to monthly in-hand after provident fund, gratuity and professional tax.<\/span>\n  <\/div>\n\n  <div class=\"content\">\n\n    <p class=\"chain-label\">Where the money goes, worked on a &#8377;7,20,000 package<\/p>\n    <div class=\"chain\">\n      <div class=\"step\">\n        <span class=\"n\">1 &nbsp;&middot;&nbsp; The offer letter<\/span>\n        <span class=\"fig\">&#8377;60,000<span class=\"per\">&nbsp;\/month<\/span><\/span>\n        <span class=\"say\">Cost to company divided by twelve. This is the figure people quote each other.<\/span>\n      <\/div>\n      <div class=\"step\">\n        <span class=\"n\">2 &nbsp;&middot;&nbsp; Gross salary<\/span>\n        <span class=\"fig\">&#8377;55,557<span class=\"per\">&nbsp;\/month<\/span><\/span>\n        <span class=\"cut\">&minus; employer provident fund &#8377;36,000\/yr<br>&minus; gratuity provision &#8377;17,316\/yr<\/span>\n        <span class=\"say\">Both sit inside the package and never reach an account.<\/span>\n      <\/div>\n      <div class=\"step last\">\n        <span class=\"n\">3 &nbsp;&middot;&nbsp; What credits<\/span>\n        <span class=\"fig\">&#8377;52,357<span class=\"per\">&nbsp;\/month<\/span><\/span>\n        <span class=\"cut\">&minus; employee provident fund &#8377;3,000<br>&minus; professional tax &#8377;200<br>&minus; income tax &#8377;0<\/span>\n        <span class=\"say\">A gap of &#8377;7,643 a month, and none of it is tax.<\/span>\n      <\/div>\n    <\/div>\n\n    <div class=\"grid\">\n      <div class=\"hcell\">Experience<\/div>\n      <div class=\"hcell b\">Annual band<\/div>\n      <div class=\"hcell b\">Monthly in-hand<\/div>\n      <div class=\"hcell b\">Reported on<\/div>\n\n      <div style=\"display:contents\">\n        <div class=\"ecell\">0 to 1 year<\/div>\n        <div class=\"cell\">&#8377;3.6L to &#8377;5.2L<\/div>\n        <div class=\"cell net\">&#8377;25,500 to &#8377;36,900<\/div>\n        <div class=\"cell n\">30 salaries<span class=\"thin\">thin sample<\/span><\/div>\n      <\/div>\n\n      <div style=\"display:contents\">\n        <div class=\"ecell\">1 to 3 years<\/div>\n        <div class=\"cell\">&#8377;5.2L to &#8377;5.7L<\/div>\n        <div class=\"cell net\">&#8377;36,900 to &#8377;40,450<\/div>\n        <div class=\"cell n\">82,800 salaries<\/div>\n      <\/div>\n\n      <div style=\"display:contents\">\n        <div class=\"ecell\">3 to 6 years<\/div>\n        <div class=\"cell\">&#8377;7.2L to &#8377;7.9L<\/div>\n        <div class=\"cell net\">&#8377;52,350 to &#8377;58,050<\/div>\n        <div class=\"cell n\">66,200 salaries<\/div>\n      <\/div>\n\n      <div style=\"display:contents\">\n        <div class=\"ecell\">6 to 9 years<\/div>\n        <div class=\"cell\">&#8377;7.7L to &#8377;11.3L<\/div>\n        <div class=\"cell net\">&#8377;56,400 to &#8377;85,700<\/div>\n        <div class=\"cell n\">58 salaries<span class=\"thin\">thin sample<\/span><\/div>\n      <\/div>\n\n      <div class=\"row-senior\" style=\"display:contents\">\n        <div class=\"ecell\">Senior title<br><span style=\"font-size:11px;font-weight:600;color:#616161;\">2 to 9 years<\/span><\/div>\n        <div class=\"cell\">&#8377;12.8L to &#8377;14.2L<\/div>\n        <div class=\"cell net\">&#8377;97,900 to &#8377;1,03,100<\/div>\n        <div class=\"cell n\">25,500 salaries<\/div>\n      <\/div>\n    <\/div>\n\n    <div class=\"notes\">\n      <div class=\"note tax\"><strong>Income tax is nil on every row but the last.<\/strong> The new regime exempts salaried income up to &#8377;12.75 lakh of gross salary, which is a package of about &#8377;13.4 lakh. Tax first bites inside the senior band, where &#8377;11,386 more gross a month yields only &#8377;5,200 more in hand.<\/div>\n      <div class=\"note pf\"><strong>The provident fund ceiling moved on 17 September 2026,<\/strong> from &#8377;15,000 to &#8377;25,000 of monthly basic pay. The maximum employee contribution went from &#8377;1,800 to &#8377;3,000, which takes up to &#8377;2,400 a month out of in-hand on any package above &#8377;6 lakh.<\/div>\n    <\/div>\n\n    <p class=\"assume\">Conversion assumes basic pay at 50% of cost to company, provident fund at 12% of basic capped at the &#8377;25,000 ceiling, gratuity provision at 4.81% of basic, professional tax at &#8377;200 a month, and the new tax regime. Delhi, Haryana and Uttar Pradesh levy no professional tax, so the same package lands &#8377;200 a month higher there.<\/p>\n  <\/div>\n\n  <p class=\"src\">Sources: AmbitionBox data analyst and senior data analyst salary pages, from about 1.5 lakh and 25,500 self-reported salaries, updated 2 October 2026. Income tax slabs for financial year 2026-27, new regime, with the &#8377;75,000 standard deduction and the &#8377;60,000 rebate under Section 87A. Ministry of Labour and Employment notification S.O. 5109(E) of 17 September 2026 under the Code on Social Security, 2020. State professional tax schedules.<\/p>\n\n  <div class=\"brandbar\"><img decoding=\"async\" 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\" alt=\"SkillArbitrage\"><\/div>\n<\/div>\n<\/div>\n<\/figure>\n\n<a id=\"h2-2\"><\/a><\/p>\n<h2 id=\"from-ctc-to-what-reaches-your-account\">From CTC to what reaches your account<\/h2>\n<p>The gap between cost to company divided by twelve and the figure that actually credits is made of two non-cash package components and two deductions, and at these salary levels none of it is income tax.<\/p>\n<p>The method is short enough to write as arithmetic, and a real offer runs through it in four steps:<\/p>\n<p><code>gross salary = CTC \u2212 employer provident fund \u2212 gratuity provision<\/code><\/p>\n<p><code>monthly in-hand = (gross salary \u00f7 12) \u2212 employee provident fund \u2212 professional tax \u2212 income tax<\/code><\/p>\n<p><em>A \u20b97,20,000 package at 50% basic gives basic pay of \u20b930,000 a month. Employer provident fund is capped at \u20b93,000 a month, so \u20b936,000 a year, and the gratuity provision takes 4.81% of \u20b93,60,000, which is \u20b917,316. Gross salary is therefore \u20b96,66,684, or \u20b955,557 a month. Deduct \u20b93,000 of employee provident fund and \u20b9200 of professional tax, and \u20b952,357 arrives.<\/em><\/p>\n<p>Divide the package by twelve instead and you get \u20b960,000, so the real gap is \u20b97,643 a month, and every rupee of it is provident fund or gratuity rather than tax.<\/p>\n<p>The provident fund side of that changed three weeks ago. Through <a href=\"https:\/\/www.scconline.com\/blog\/post\/2026\/09\/17\/cabinet-approves-epfo-wage-ceiling-limit-from-15000-to-25000\/\" target=\"_blank\" rel=\"noopener\">notification S.O. 5109(E) of 17 September 2026<\/a>, the Ministry of Labour and Employment set \u20b925,000 a month as the new wage ceiling under Chapter III of the Code on Social Security, 2020, a day after Cabinet approved it.<\/p>\n<p>Coverage extends to 51 lakh additional employees on the government&#8217;s own estimate. Maximum employee contribution went from \u20b91,800 a month to \u20b93,000, and the employer&#8217;s pension-scheme share from \u20b91,250 to \u20b92,083.<\/p>\n<p>Who it touches runs wider than the fresher band, and in the opposite direction to what most summaries suggest. Anyone whose basic pay is \u20b915,000 or less is unaffected, because their contribution was already calculated on full basic and sat below both ceilings. Between \u20b915,000 and \u20b925,000 of basic, the contribution rises from the old \u20b91,800 cap to 12% of actual basic, which is a partial increase that scales with pay.<\/p>\n<p>Above \u20b925,000 of basic the whole \u20b91,200 lands, on each side, because the cap itself moved from \u20b91,800 to \u20b93,000. In monthly in-hand terms that is \u20b92,400, and it applies to every package over roughly \u20b96 lakh rather than tapering off. Employers who already contributed on full basic instead of the old ceiling see no change at all, and some will restructure packages to hold cost to company flat, which relocates the loss inside the payslip rather than removing it.<\/p>\n<p>Income tax, meanwhile, starts much later than the folklore suggests. The new regime for 2026-27 charges nil up to \u20b94 lakh, then 5%, 10%, 15%, 20%, 25% and 30% in \u20b94 lakh steps. With the \u20b975,000 standard deduction and the \u20b960,000 rebate under Section 87A, a salaried person pays nothing until gross salary passes \u20b912.75 lakh. Under the structure used throughout this article, that is a package of about <strong>\u20b913.4 lakh<\/strong>.<\/p>\n<p>The crossover is visible in the senior band. AmbitionBox puts senior data analyst at \u20b912.8 lakh to \u20b914.2 lakh for two to nine years, from 25,500 salaries, and at the bottom of that band monthly in-hand is about \u20b997,900 with tax still nil.<\/p>\n<p>At the top of it, monthly gross rises by \u20b911,386 but in-hand rises by only about \u20b95,200, to roughly \u20b91,03,100, because the rebate drops away and tax finally bites. That is the one point on the whole ladder where a raise is worth materially less than it looks.<\/p>\n<p>Which gives a concrete thing to ask before signing. Request the basic-pay percentage and the employer&#8217;s provident fund treatment in writing, because two offers at an identical \u20b97.2 lakh can differ by over \u20b91,000 a month on structure alone, and that is negotiable in a way the headline number usually isn&#8217;t. For anyone weighing the Indian figure against dollar-denominated work, Payscale&#8217;s United States page puts the average base for the same title at $70,643 and entry level at $63,574 from 11,864 profiles, which is the premise behind <a href=\"https:\/\/skillarbitra.ge\/blog\/how-to-get-remote-jobs-from-intl-startups\/\" target=\"_blank\" rel=\"noopener\">remote jobs with international startups<\/a> and the reason the route exists at all. The skills and the certifications that get an Indian analyst to either number are the same ones, and <a href=\"https:\/\/skillarbitra.ge\/blog\/how-to-become-a-remote-data-analyst-from-india\/\" target=\"_blank\" rel=\"noopener\">becoming a remote data analyst from India<\/a> covers that route.<\/p>\n<hr>\n<a id=\"h2-3\"><\/a>\n<h2 id=\"faqs\">FAQs<\/h2>\n<p><strong>How much does a senior data analyst earn per month in India?<\/strong><\/p>\n<p>AmbitionBox puts the senior data analyst band at \u20b912.8 lakh to \u20b914.2 lakh a year for two to nine years of experience, from 25,500 reported salaries updated 2 October 2026. That converts to roughly \u20b997,900 to \u20b91,03,100 a month in hand. It is also the first band where income tax applies, since gross salary crosses the \u20b912.75 lakh zero-tax line partway through it.<\/p>\n<p><strong>Do data analysts earn more than business analysts in India?<\/strong><\/p>\n<p>At matched experience, business analysts are ahead on AmbitionBox figures. At one to three years the data analyst band is \u20b95.2 lakh to \u20b95.7 lakh against \u20b97 lakh to \u20b97.7 lakh for business analysts, and at three to six years it is \u20b97.2 lakh to \u20b97.9 lakh against \u20b98.7 lakh to \u20b99.7 lakh. The business analyst sample is larger too, at 1.6 lakh salaries.<\/p>\n<p><strong>Which skills move a data analyst into the higher monthly bands?<\/strong><\/p>\n<p>Industry placement moves the number more than any single tool. Financial services pays \u20b99.3 lakh to \u20b910.3 lakh against \u20b95.7 lakh to \u20b96.3 lakh in IT services, on AmbitionBox data. On demand, the same source lists about 42,000 open roles mentioning Python and 34,300 mentioning SQL, against 4,600 for Power BI and 2,500 for Tableau.<\/p>\n<p><strong>What does a data analyst earn working remotely for a US company?<\/strong><\/p>\n<p>Payscale&#8217;s United States figures for the title are an average base of $70,643 and an entry-level average of $63,574, from 11,864 salary profiles updated 13 July 2026. Those are US-market rates rather than a guaranteed remote offer, and the client&#8217;s location is what changes the figure, not the work itself.<\/p>\n<hr>\n<a id=\"h2-4\"><\/a>\n<h2 id=\"references\">References<\/h2>\n<a id=\"h3-4a\"><\/a>\n<h3 id=\"salary-data\">Salary data<\/h3>\n<ol>\n<li><a href=\"https:\/\/www.ambitionbox.com\/profile\/data-analyst-salary\" target=\"_blank\" rel=\"noopener\">Data Analyst salaries in India<\/a>. AmbitionBox. Typical band \u20b96.5 lakh to \u20b97.2 lakh for nought to six years from about 1.5 lakh self-reported salaries, experience bands, city bands, industry bands and employer bands, updated 2 October 2026<\/li>\n<li><a href=\"https:\/\/www.payscale.com\/research\/IN\/Job=Data_Analyst\/Salary\" target=\"_blank\" rel=\"noopener\">Data Analyst Salary in India<\/a>. Payscale. Average base \u20b95,77,472, entry-level average \u20b94,13,462 and early-career average \u20b95,65,999, from 2,389 profiles, updated 10 July 2026<\/li>\n<li><a href=\"https:\/\/in.indeed.com\/career\/data-analyst\/salaries\" target=\"_blank\" rel=\"noopener\">Data analyst salary in India<\/a>. Indeed. Average \u20b96,23,730 a year and city figures from 572 reported salaries, updated 23 September 2026<\/li>\n<li>Senior Data Analyst salaries in India, and Business Analyst salaries in India. AmbitionBox. Senior band \u20b912.8 lakh to \u20b914.2 lakh from 25,500 salaries, business analyst bands by experience from 1.6 lakh salaries, both updated 2 October 2026<\/li>\n<li>Data Analyst, India. levels.fyi. Median total compensation \u20b914,68,435 from 428 submissions, and employer figures for Walmart, Amazon and JPMorgan Chase, updated 4 October 2026<\/li>\n<li>Data Analyst salaries, India. Glassdoor. Employee-reported average \u20b96,50,000 with 25th percentile \u20b94,30,250 and 90th percentile \u20b916,95,800, from 11,949 submissions as of June 2026, from indexed results<\/li>\n<li>Data Analyst Salary in the United States. Payscale. Average base $70,643 and entry-level average $63,574 from 11,864 profiles, updated 13 July 2026<\/li>\n<\/ol>\n<a id=\"h3-4b\"><\/a>\n<h3 id=\"provident-fund-professional-tax-and-income-tax\">Provident fund, professional tax and income tax<\/h3>\n<ol start=\"8\">\n<li><a href=\"https:\/\/www.scconline.com\/blog\/post\/2026\/09\/17\/cabinet-approves-epfo-wage-ceiling-limit-from-15000-to-25000\/\" target=\"_blank\" rel=\"noopener\">Notification S.O. 5109(E) of 17 September 2026<\/a>, Ministry of Labour and Employment, under Chapter III of the Code on Social Security, 2020. Wage ceiling raised from \u20b915,000 to \u20b925,000 a month, Cabinet approval of 16 September 2026, employee contribution ceiling from \u20b91,800 to \u20b93,000, pension-scheme share from \u20b91,250 to \u20b92,083, and coverage extended to 51 lakh additional employees<\/li>\n<li>Employees&#8217; Provident Funds and Miscellaneous Provisions Act, 1952, and Payment of Gratuity Act, 1972. Employee and employer contribution at 12% of basic pay, and the gratuity formula of basic \u00f7 26 \u00d7 15 that the 4.81% monthly provision is derived from<\/li>\n<li>Professional tax schedules, Karnataka, Maharashtra, Telangana and Tamil Nadu. Karnataka exempt up to \u20b925,000 gross a month and \u20b9200 above it from 1 April 2025, Maharashtra \u20b9200 a month against a \u20b92,500 annual cap. Delhi, Haryana and Uttar Pradesh do not levy professional tax<\/li>\n<li>Income tax slabs, new regime, financial year 2026-27. Nil up to \u20b94 lakh, then 5%, 10%, 15%, 20%, 25% and 30%, with a \u20b975,000 standard deduction for salaried taxpayers and a \u20b960,000 rebate under Section 87A applying to taxable income up to \u20b912 lakh, giving zero tax up to \u20b912.75 lakh of gross salary. Unchanged for 2026-27 by Budget 2026<\/li>\n<\/ol>\n<hr>\n<p><em>This article is for informational and educational purposes only and isn&#8217;t professional, financial or tax advice. Salary bands, provident fund rules and tax slabs change, and every monthly figure here depends on how a specific employer structures a package. Verify current figures with the source, and consult a qualified professional before acting on a salary or tax decision.<\/em><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>A data analyst in India takes home about Rs 25,500 a month as a fresher and Rs 52,350 to Rs 58,050 at three to six years, on AmbitionBox bands verified October 2026.<\/p>\n","protected":false},"author":35,"featured_media":5143,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,10],"tags":[1876,1873,1874,1405,1875],"class_list":["post-5142","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-careers","category-remote-work","tag-data-analyst-career","tag-data-analyst-jobs","tag-data-analyst-salary","tag-data-analytics","tag-salary-in-india"],"_links":{"self":[{"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/posts\/5142","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/comments?post=5142"}],"version-history":[{"count":1,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/posts\/5142\/revisions"}],"predecessor-version":[{"id":5144,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/posts\/5142\/revisions\/5144"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/media\/5143"}],"wp:attachment":[{"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/media?parent=5142"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/categories?post=5142"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/skillarbitra.ge\/blog\/wp-json\/wp\/v2\/tags?post=5142"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}