Senior Data Analyst Jobs in Mumbai: Client-Facing Analytics at Fractal

Apply for the Senior Data Analyst position at Fractal in Mumbai (2-6 years of experience). Manage end-to-end client projects using BigQuery, Python, Power BI, and Looker Studio. Salary: ₹2–7 LPA.

About the Company: Fractal

Fractal is a publicly listed global enterprise AI leader dedicated to powering every human decision across the modern enterprise ecosystem. With a high-performance workforce of over 5,000 professionals spanning North America, EMEA, and Asia-Pacific, Fractal partners with Fortune 500 corporations to embed advanced artificial intelligence, machine learning, and data analytics into critical corporate frameworks.

By restructuring business units across growth channels, complex supply chains, value pricing, and consumer experience mapping, Fractal drives sustainable structural changes. Operating within their core analytics hub in Mumbai, Maharashtra, India, Fractal provides data engineering professionals with a highly collaborative, client-facing ecosystem to deliver next-generation business intelligence solutions.

About the Role: Senior Data Analyst

Are you an experienced data professional who excels at turning messy databases into powerful client solutions? Fractal is recruiting for a full-time, permanent Senior Data Analyst role based in Mumbai, Maharashtra, India. This position is designed for analytical problem-solvers with 2 to 6 years of experience, offering a direct path to managing complex data projects independently.

As a Senior Data Analyst at Fractal, you will step away from purely background engineering to take on a highly visible, client-facing role. You will consult directly with corporate stakeholders to map out their core KPIs and take full ownership of end-to-end data pipelines—including large-scale cloud extraction, custom Python scripting, data warehousing, and building interactive, executive-ready visual tracking models.

Key Responsibilities & End-to-End Analytics Workflows

• Direct Client Consultation: Partner directly with enterprise clients to deconstruct complex business problems, define performance KPIs, and scope out engineering reporting requirements.

• Full-Lifecycle Project Management: Independently execute end-to-end analytics lifecycles, spanning raw data extraction, schema transformation, multi-table structural modelling, and dashboard construction.

• Large-Scale Cloud Querying: Write, audit, and run highly optimised SQL queries inside Google Cloud Platform (GCP) BigQuery to process massive, multi-million-row datasets efficiently.

• Pipeline Automation: Develop, test, and automate reliable data ingestion pipelines using Python scripting and core data processing frameworks.

• Business Intelligence Architecture: Build and update high-performance corporate dashboards using Power BI(authoring advanced Data Analysis Expressions – DAX and dimensional models) and Looker Studio.

• Omnichannel Marketing Analytics: Clean, merge, and evaluate multi-channel marketing metrics pulled from Google Ads, Meta Ads, and Google Analytics 4 (GA4).

• Data Integrity & Automation: Build reusable data templates to automate client reporting, run deep-dive

Candidate Prerequisites & Key Technical Skills

Successful candidates should combine deep analytical knowledge with a strong background in marketing metrics and the ability to explain complex data to non-technical teams.

Required Education & Baseline Experience:

• Professional Experience: 2 to 6 Years of hands-on data analytics experience, ideally in an enterprise consulting, client-facing agency, or telecom environment.

• Academic Background: UG – B.Tech / B.E. in any specialization, or B.C.A. (Computer Applications). Equivalent math, technical, or computer science streams are highly preferred.

• Core Attributes: Strong business acumen, a self-starting mindset to run projects independently, and excellent verbal storytelling skills to guide business users.

Required Technical Stack Competencies:

• Cloud Data Warehousing: Advanced command of SQL, with specific hands-on experience structuring queries for large-scale datasets inside Google BigQuery (GCP).

• Scripting & Data Processing: High proficiency using Python, including core data libraries like Pandas and NumPy, for automation and data cleansing.

• Enterprise Visualisation: Deep experience with Power BI, including solid data modelling skills, schema setups, complex DAX formulas, and Looker Studio layout design.

• Domain Expertise: Prior experience analysing performance marketing datasets (Google Ads, Meta Ads, and web traffic tracking systems like GA4).

• Advanced Statistical Frameworks: Foundational familiarity with predictive time-series forecasting metrics, such as ARIMA models.

Core Position Specifications

• Position Title: Senior Data Analyst

• Hiring Organisation: Fractal

• Job Location: Mumbai, Maharashtra, India

• Experience Benchmark: 2 – 6 Years

• Compensation Parameters: ₹2.0 – ₹7.0 Lakhs Per Annum (Based heavily on evaluation panel grading)

• Employment Framework: Full-Time, Permanent position

• Target Industry Sector: Telecom / ISP / Enterprise AI / Analytics Practice

• Organisational Department: Data Science & Analytics