Data Analyst Jobs in Mumbai

As of 8 July 2026, knok jobradar tracked 19 live Data Analyst openings in Mumbai. That places Mumbai third among major Indian cities for this role, behind Bangalore (41 openings) and Delhi (22 openings), and ahead of Hyderabad (14), Pune (10), and Chennai (5).

Mumbai's Data Analyst demand is concentrated in fintech, consumer internet, and financial services, which matches the city's economic character. Companies hiring right now include banks, lending platforms, and direct-to-consumer brands, so domain knowledge in those sectors is genuinely useful.

Nineteen live roles is a focused market. It means each application you send carries more weight, because you are not lost in a flood of postings. Quality beats volume here: a sharp, targeted resume will outperform a spray-and-pray approach.

These are the companies with active Data Analyst openings in Mumbai right now, based on knok jobradar data as of 8 July 2026.

Housing, Outpace Consulting Services, and IDFC First Bank are the most active hirers with 3 openings each. IDFC First Bank is a well-known financial services name; Housing is a proptech platform; Outpace is a consulting firm, which often means project-based or contract roles. The remaining companies are a mix of consumer brands and fintech startups, all actively recruiting as of the data capture date.

Data Analyst salaries in Mumbai vary widely by experience level. The bands below come from knok jobradar and reflect packages (fixed plus variable) seen in active job postings as of July 2026. Actual offers depend on the company, your negotiation, and the specific role scope.

Entry level (0-2 years): 5-10 LPA. Freshers and those moving into analytics from adjacent roles typically land here. Mumbai's cost of living means the lower end of this band can feel tight, so target companies with clear growth paths and learning budgets.

Mid level (3-5 years): 10-18 LPA. This is where most of the volume sits. Professionals with solid SQL, Python, and a dashboard tool such as Power BI or Tableau, combined with some domain exposure, can expect offers toward the upper half of this range.

Senior level (6-9 years): 18-30 LPA. At this stage, your ability to own an analytics function, mentor juniors, and connect data work to business decisions matters as much as technical skill.

Lead roles: 28-45+ LPA. These are head-of or principal-level positions. The '+' reflects that top-end packages at larger firms go higher, per publicly reported compensation data on levels.fyi.

In Mumbai's current Data Analyst market, a few things consistently separate shortlisted candidates from the rest.

SQL is non-negotiable. Almost every job description for this role lists SQL as a core requirement. Be ready to write and explain queries in interviews, not just claim familiarity on your resume.

Python for analysis. Mid and senior roles increasingly expect Python (pandas, numpy, basic visualisation). If you are at the entry level, even a few portfolio projects using Python on public datasets will separate you from peers who only know spreadsheets.

Pick one dashboard tool and go deep. Power BI is common in Mumbai's financial services and banking roles; Tableau appears more often in consumer internet companies. Know one well enough to build and explain a dashboard end to end, including how you chose the right visual for each metric.

Domain knowledge accelerates interviews. Mumbai's hiring companies lean toward fintech, lending, and consumer brands. If you understand concepts like credit bureau data, cohort retention, or GMV metrics, say so clearly. It shortens the 'will they fit our context' concern that interviewers have.

A portfolio beats a certificate. Two or three well-documented projects on GitHub or a Notion page are more convincing to a hiring manager than a list of course completions.

With 19 openings and competition from analysts across India (remote applicants do target Mumbai roles), a deliberate strategy matters.

Customise your resume headline. If the job description says 'Business Analyst, Data' versus 'Data Analyst', mirror the title. Applicant tracking systems and first-pass screeners both respond to keyword alignment.

Apply within the first few days. Roles at smaller companies (many on this list are mid-size or startup) often close fast once they find a good fit. Waiting a week can mean the role is already in the offer stage.

Follow up with the hiring manager or HR contact on LinkedIn. A short, professional message referencing the role and one relevant skill you bring can move your application from the pile to the shortlist. This works better than most people expect, because few candidates actually do it.

Prepare for a take-home case study. Data Analyst interviews at fintech and consumer companies in Mumbai commonly include a dataset and a set of questions to answer. Practice structuring your findings as a short slide deck or a written brief with clear recommendations.

knok checks 150+ job sites nightly, applies to jobs that match your resume, and messages HR for you, so you do not have to monitor each company's careers page separately.