Top Companies Hiring Data Analysts in Mumbai

Data Analyst compensation in India varies by city, company stage, and whether the role is product, platform, or growth-focused. Fixed pay is quoted in LPA (lakhs per annum); variable pay and ESOPs are common at startups. Always clarify fixed vs CTC before negotiating.

Bangalore / Hyderabad: Highest volume of tech roles; senior Data Analyst bands at top of range.
Mumbai / Delhi NCR: Strong fintech and consumer; premiums for leadership roles.
Pune / Chennai: GCC and enterprise SaaS; competitive base, lower equity upside.
Mumbai: Factor in cost of living vs Bangalore when comparing offers.

1. Anchor with data from 3+ offers or trusted peers at the same level.
2. Negotiate fixed first; treat variable and ESOP separately.
3. Ask for signing bonus if base is capped.
4. Get the offer letter with break-up (basic, HRA, PF) before resigning.
5. If competing offers exist, share timelines, not numbers, to accelerate decisions.

CTC typically includes: Basic, HRA, special allowance, PF employer contribution, gratuity provision, and projected variable. Ask for in-hand estimate after tax. ESOPs at startups may not appear in CTC, model dilution and vesting cliff separately.

Mumbai has 19 open Data Analyst roles as of July 2026, according to knok jobradar. That places it third in India, behind Bangalore (41 roles) and Delhi (22 roles), and ahead of Hyderabad (14), Pune (10), and Chennai (5).

The city's hiring mix is distinctive. Financial services and fintech dominate, which makes sense for India's financial capital. But there is also a growing wave of consumer startups in beauty, apparel, and lending that are building their data functions from scratch. That combination means Mumbai analysts often get to choose between the structure of a large bank and the speed of an early-stage product company.

If you are open to relocating, Bangalore carries more than double the volume. But Mumbai remains a strong market for analysts who want deep domain experience in BFSI, proptech, or consumer brands.

Here are the companies actively posting Data Analyst roles in Mumbai right now.

The top three employers each have 3 openings, which points to active team-building rather than one-off backfills. IDFC First Bank sits in the BFSI segment, where analyst work typically covers credit risk models, customer lifetime value, and regulatory reporting. If you want structured data problems with real stakes, BFSI roles are worth targeting.

Housing.com is a product company at heart. Analyst roles there lean toward funnel analysis, search ranking experiments, and marketplace behaviour. If you enjoy working close to product teams and seeing your insights ship into features, this kind of role fits well.

Outpace Consulting Services is a consulting firm, which typically means rotating across client domains. That is good for building breadth quickly, but the depth on any single vertical can be limited.

The rest of the list is consumer startup territory. The Souled Store, MyGlamm, and Snapmint are growing D2C or fintech brands that expect analysts to own dashboards end to end and present directly to business stakeholders. BharatNxt and Tata Business Hub add a B2B and enterprise flavour, while Eccentric and iXceed round out the smaller openings.

Salaries for Data Analysts in Mumbai follow these bands, based on knok jobradar data.

At entry level, most Mumbai roles sit in the 5-10 LPA band. Once you cross the three-year mark with strong SQL and at least one BI tool (Power BI, Tableau, or Looker), the mid band of 10-18 LPA becomes realistic. Senior analysts who own data pipelines, mentor juniors, and communicate insights clearly to leadership typically command 18-30 LPA.

The Lead band starts at 28 LPA and goes above 45 LPA for a small number of roles at well-funded companies. For BFSI roles specifically, Glassdoor and industry surveys suggest total compensation, including variable pay, can push these figures higher at private banks and large financial institutions.

Mumbai employers right now are a mix of banks, product companies, and startups, and each values slightly different things. But a few signals matter across all of them.

Domain context in your resume. A resume that says 'built dashboards' lands differently than one that says 'built a churn prediction dashboard that reduced support load by identifying the top drop-off segment.' The second version shows you understand business impact, not just the tool. Tailor this context to the company's domain: use credit and risk language for IDFC First Bank, and funnel and retention language for Housing or MyGlamm.

SQL and Python proficiency you can demonstrate. Almost every analyst role in Mumbai lists SQL as a must-have. Employers who shortlist quickly are looking for people who can write complex joins, window functions, and CTEs without looking them up. If you have a public portfolio (a GitHub notebook, a Kaggle profile, or a short blog post), link it prominently in your resume.

A BI tool you know deeply. Power BI and Tableau are the most commonly cited tools across Mumbai job postings. Pick one, go beyond the basics, and be ready to walk through a dashboard you built from scratch in your interview.

Communication, especially in writing. Startups and product companies in this list want analysts who can write a crisp data insight that a non-technical founder can act on. Practice writing short, clear summaries of your past analyses.

Mumbai has 19 open roles right now, which is a manageable number. You do not need to spray applications. A focused approach works better.

Prioritise the employers with 3 open roles. IDFC First Bank, Housing, and Outpace each have multiple openings, which means they are actively building a team. Your application goes into a pool that hiring managers are reviewing right now, not an old backlog.

Match your resume to the segment. Write one version for BFSI roles (emphasise risk, compliance, and structured data) and another for product and startup roles (emphasise product metrics, experimentation, and self-serve analytics). Sending the same resume everywhere is the fastest way to get filtered out.

Message the hiring manager directly. On LinkedIn, look up the Data or Analytics team at your target company and send a short, specific note. Something like: 'I noticed Housing is hiring Data Analysts. I have worked on marketplace funnel analysis before and would love to connect.' A direct message often gets seen before most applications do.

Apply the day a role goes live. Roles posted early in the week tend to get more recruiter attention. If you see a new posting, apply the same day rather than waiting.

knok checks 150+ job sites nightly, applies to roles that match your resume, and messages HR directly on your behalf, so you do not miss openings the moment they go live.