Here’s the honest picture. Guvi’s 2026 tracker puts the fresher average at ₹4.5 LPA (midpoint of a ₹3–6 LPA entry band), with the average across all experience levels around ₹6.5–6.6 LPA. Multiple 2026 sources citing Glassdoor India converge on ₹6.87 LPA as the national average as of March 2026 — the single most-repeated anchor figure in this space. Scaler’s guide widens the starting band to ₹4–9 LPA depending on skills and company type. FindMyCollege’s compiled figures show freshers starting between ₹4.5–7.5 LPA. And on the extreme end, one Mumbai-specific salary tracker (ERI Salary Expert) reports an average of ₹21,26,240 for the role — a figure that sits so far above every other 2026 source that it’s worth reading as a narrow, high-end sample rather than a representative Mumbai number.

*Range, not a single point — senior pay spreads far wider than entry-level pay does. Bars scaled against the ₹22L upper bound for visual comparison only.

Why the spread exists comes down to three things specific to how the Indian market is structured. First, company type: the same title pays very differently at an IT services vendor (TCS, Infosys, Wipro) running an Excel-and-MIS reporting desk versus a global capability centre (Microsoft, Amazon, Goldman Sachs) or a product startup (Razorpay, Swiggy, Zepto) hiring for a SQL-and-Python analytics seat — GrowAI’s data shows senior GCC/MNC roles reaching ₹20–35 LPA against ₹14–18 LPA for comparable seniority at more traditional employers. Second, city concentration: salary trackers built on Bengaluru- or Mumbai-heavy samples will report higher averages than ones drawing more evenly from Tier-2 cities. Third, degree and portfolio bleed: B.Tech/MCA graduates tend to land at the higher end of the fresher band, while BBA/B.Com graduates with strong Excel and SQL portfolios start somewhat lower on paper — a gap that several 2026 sources note closes quickly once real project work enters the picture.

The national average hides more than it reveals — city and company type move the number as much as years of experience do.

At the entry level, most 2026 sources cluster tightly between ₹3.5 LPA and ₹6 LPA, with the strongest fresher candidates — those with SQL, Python, and 2–3 real portfolio projects rather than just a certificate — landing offers of ₹6–8 LPA even at tier-1 cities. Mid-level professionals with three to five years typically move into a ₹8–18 LPA band, with the spread driven heavily by whether they’ve added Python and a BI tool to an Excel/SQL base. By five to eight years, ₹14–22 LPA is the commonly cited range, and senior leads at MNCs and GCCs — Amazon, Google, Microsoft, Goldman Sachs, HSBC India — reach ₹20–35 LPA, with product-based startups like Razorpay, Swiggy, and PhonePe offering ₹18–28 LPA plus ESOPs at similar seniority.

City matters almost as much as tenure. Bengaluru consistently tops the city rankings, averaging ₹8–10 LPA — roughly 18% above the national figure — driven by its density of product companies, GCCs, and analytics-heavy startups. Hyderabad follows close behind at around ₹7.8 LPA, buoyed by a fast-growing GCC and analytics-hub presence that several 2026 sources note now keeps it consistently ahead of Mumbai and Pune for this specific role. Delhi NCR sits near ₹7.5 LPA, driven by consulting and enterprise demand. Pune and Chennai trail the top three modestly, but multiple sources note the gap has been narrowing as tier-1 salaries plateau and remote-friendly product companies extend Bengaluru-level pay to candidates based elsewhere.

Industry sits alongside city as the other major lever. upGrad’s 2026 data names e-commerce as the highest-paying sector overall, and GrowAI’s breakdown shows domain-specific fintech and risk-analytics roles in Mumbai — credit risk, fraud detection, investment analytics — commanding a premium that Bengaluru’s more generalist tech market doesn’t always match, with firms like Razorpay, Groww, and Zerodha hiring mid-level analysts at ₹9–14 LPA specifically for that expertise.

An analysis of 328 real data analytics job descriptions from companies hiring through AccioJob — an India-focused hiring platform — found Excel in 81% of postings, SQL in 60%, Power BI in 43%, and Python in 41%, with Tableau trailing far behind at just 2%. Separately, Data Analyst Academy’s review of listings from TCS, Infosys, Accenture, and Deloitte found these same core tools appearing in more than 80% of analytics postings from India’s largest employers — a strong signal that the AccioJob sample isn’t an outlier specific to smaller companies.

What’s consistent across every India-specific source here, regardless of the exact percentage, is the same pattern: Excel and SQL form the base, Power BI has a clear lead over Tableau as the default visualization tool, and Python is a genuine expectation rather than a nice-to-have — but still ranks below the first two. Power BI’s dominance in the Indian market specifically is tied to its tight integration with the Office 365 stack that most Indian enterprises, IT services vendors, and GCCs already run on; Tableau holds its ground mainly in consulting and large-enterprise accounts.

“India has a shortage of data professionals” is one of the most-repeated claims in every analytics-course advertisement — and the actual size of that shortage depends entirely on which source you cite. NASSCOM’s 2025 figures put the shortfall at over 11 lakh (1.1 million) data professionals. A separate NASSCOM-attributed figure, cited by a different 2026 source, puts it at a much smaller 200,000-plus data analytics professionals specifically, by the end of 2025. A third figure — attributed to NASSCOM via a career-guide site — claims India will need 1.3 million data professionals by 2026. And the Deloitte-NASSCOM report projects India will need over 1.25 million AI and data professionals specifically by 2027. These are not the same claim measured four ways; they’re different scopes (data professionals broadly vs. data analytics specifically vs. AI-and-data combined) attributed to overlapping but not identical sources.

The more methodologically transparent figure comes from Analytics Vidhya’s India Analytics Hiring Report 2026, which measured both sides of the equation directly: demand for data professionals grew 34% year-on-year, while talent supply grew only 18% — a real, measurable structural gap rather than a single scary headline number. That 34-versus-18 split is consistent with the wider claim that India’s data analytics market is projected to reach $16 billion by 2027, with demand for professionals growing 30–40% annually, and it’s consistent with salaries growing 12–15% annually across multiple sources — wage growth of that pace generally doesn’t happen in a market with a supply glut.

The exact shortage number is contested. The direction — demand outpacing supply, for years running — is not.

Two structural forces sit underneath these numbers and explain why they’re trending the direction they are. First, the growth of global capability centres (GCCs) across Bengaluru, Hyderabad, and Pune is pulling experienced analysts into well-paying enterprise roles faster than universities are producing qualified graduates. Second, regulation is quietly creating new analytics headcount that didn’t previously exist: the DPDP Act 2024 and tightening SEBI reporting requirements are pushing mid-sized companies that never needed dedicated analytics staff to hire them now, purely for compliance and reporting reasons — a demand driver that has nothing to do with AI hype and everything to do with regulatory deadlines.

Salary and skills are the easy part to research. What the actual hiring funnel looks like right now — vacancy counts, time-to-hire, and the gap between hiring intent and actual offers — is where most guides go quiet.

Start with the vacancy count itself, because it complicates the “India needs 1.3 million data professionals” framing from the last chapter. In June 2026, active technology job openings in India fell to a 28-month low of around 93,000, down from 119,000 in March — and for anyone with under two years of experience specifically, the squeeze has been sharper still: entry-level openings dropped roughly 44% year-on-year, to about 10,000 roles nationally, across all tech functions, not analytics alone. A structural long-term shortage and a short-term hiring slowdown are both real at the same time; they operate on different timelines.

The bright spot sits in who’s actually hiring. TCS said it’s confident of hiring around 40,000 freshers in FY26, Infosys planned over 20,000, and Wipro guided to 10,000–12,000 — still enormous absolute numbers even in a choppy year. Naukri’s data shows demand for freshers in the ₹20+ LPA salary band rose 23% even as overall fresher postings grew 16% — meaning for the strongest candidates specifically, “entry-level” is increasingly not entry-level pay. The market has effectively split in two: large-scale IT-services campus hiring around the ₹3.5 LPA mark on one side, and a much smaller, much better-paid GCC/product/specialist-AI hiring track on the other.

The honest answer, based on the numbers already covered in this piece, is genuinely mixed — and worth stating plainly rather than resolved into a tidy conclusion. Entry-level tech openings in India fell 44% year-on-year as of June 2026, which is a real, measurable contraction, not a vibe. At the same time, AI/ML-specific roles grew 34% year-on-year in January 2026 per Naukri JobSpeak, following a 42% year-on-year jump reported the previous June — both figures describing genuine expansion, just in a narrower, more specialized slice of the market than “entry-level tech” as a whole.

Two forces sit behind the AI/ML growth specifically, and neither is speculative. UPI processed 16.7 billion transactions in December 2025 alone, and every one of those requires fraud detection, trend analysis, and reporting work done by analysts — a volume-driven demand source with no ceiling in sight. Separately, more than 1,400 D2C brands launched in India in 2025, each needing someone to decide which product to push, which city to expand into, and which customers to retain — demand generation that has nothing to do with AI replacing analysts and everything to do with more businesses needing analytics for the first time.

Put next to the talent-shortage data from Chapter 4 — demand for data professionals growing 34% year-on-year against 18% supply growth — the more accurate 2026 read for India isn’t “AI is taking entry-level jobs” or “the shortage guarantees you a job” in isolation. It’s that the market has bifurcated: a real, near-term contraction in generic, entry-level tech postings sits alongside real, structural growth in analytics roles specifically tied to AI, GCCs, and new compliance requirements — and which side of that split a candidate lands on depends far more on specific skills (Chapter 3) and target company type (Chapter 2) than on the overall headline direction of “the market.”

Answer five quick questions about your actual skills and situation, and this points you toward the realistic pay tier and hiring reality that matches, in the Indian market specifically — along with the reasoning behind it. This is a directional pointer based on the data covered in this article, not a formal salary appraisal.

Straight answers to the questions this data generates most often.