Apply for the Business Data Analyst position in Google’s BizOps team (Bengaluru/Hyderabad). Lead cloud data pipelines, SQL infrastructure, experimental design, and strategic business analysis while working on North American time zones.

About the Company: Google

Google is a global technology pioneer dedicated to building products, services, and cloud infrastructures that create opportunities for everyone, everywhere. From organising the world’s information to scaling cutting-edge artificial intelligence, Google thrives on a corporate culture of insight, imagination, and a healthy disregard for the impossible.

This specialised analytics position is embedded within the elite Business Operations (BizOps) division. Hand-picked by Google’s executive leadership team to tackle the company’s thorniest, most ambiguous business challenges, BizOps operates in agile, small-squad configurations. In India, the team is expanding its footprint across Google’s premium engineering campuses in Bengaluru, Karnataka and Hyderabad, Telangana, serving as a critical global node for evidence-based decision-making.

About the Role: Business Data Analyst (Generalist)

Are you an elite analytics professional who can dive into millions of rows of messy data, engineer robust pipelines, and then zoom out to deliver a compelling strategic recommendation to executive vice presidents? Google is seeking a Business Data Analyst to join the global BizOps ecosystem. This role is built specifically for data practitioners with 6 or more years of experience translating complex data sets into highly contextualised market insights within fast-moving corporate environments.

As a Business Analysis Generalist, you will take full individual contributor (IC) ownership over complex strategic pieces and global vendor operations. You will fully immerse yourself in end-to-end data collection, architect automated data pipelines, deploy interactive reporting dashboards, and design rigorous experimental frameworks to test business hypotheses. Because this team collaborates directly with global stakeholders and leadership teams based in the United States and Canada, this position requires strict working hours aligned with the North American time zone.

Key Responsibilities & Data Engineering Workflows

• Strategic Analysis Ownership: Drive outcomes for complex, ambiguous business problems as an individual contributor. Immensely evaluate analytical findings, identify key market drivers, and translate raw data into clear,actionable business opportunities.

• Data Pipeline Architecture: Design, build, and deploy reliable data strategies, data pipelines, and automated extract-transform-load (ETL) workflows to support scalable analytics.

• Interactive Dashboard Design: Architect and maintain clean, production-grade interactive reporting dashboards and performance tracking systems using SQL and proprietary internal tooling (e.g., Plex).

• Experimental Design & Modelling: Formulate robust statistical models and experimental frameworks to systematically test hypotheses, isolate operational variables, and measure business impact.

• Vendor Operations Optimisation: Partner with global operations stakeholders to define, monitor, and refine key success metrics that govern and optimise global vendor infrastructure.

• Executive Communication & Influence: Synthesise highly technical findings and data limitations into high-impact, non-technical presentations to influence analytical decision-making among senior executives.

• Stakeholder Alignment: Articulate, evaluate, and resolve conflicting operational goals between cross-functional business groups by uncovering and challenging underlying data assumptions.

Candidate Prerequisites & Technical Skill Stack

Candidates must demonstrate an exceptional balance of deep data engineering capability, rigid statistical rigor, and sharp corporate business acumen.

Required Experience & Educational Baseline:

• Educational Credentials: Bachelor’s degree in Engineering, Mathematics, Quantitative Science, or a related technical field (or equivalent practical experience).

• Professional Tenure: 6+ years of experience conducting industry trend analysis and translating complex datasets into clear business insights in a data-driven corporate culture.

• Core Technical Skills: Proven experience writing production-grade SQL, analysing large-scale unstructured datasets, establishing data pipelines, and designing production dashboards.

Preferred Qualifications & Domain Pluses:

• Advanced Degrees: Master’s degree in a highly quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science).

• Statistical Expertise: 5+ years of experience designing statistical experiments, developing descriptive/predictive models, and establishing measurement frameworks.

• Ambiguity Management: Proven track record of navigating, troubleshooting, and solving problems within highly complex, rapidly evolving, and ambiguous business environments.

• Internal Tooling Familiarity: Functional knowledge of Google’s internal infrastructure and analytics ecosystems (such as Plex).

Core Position Specifications

• Position Title: Business Data Analyst (Business Analysis Generalist)

• Hiring Organisation: Google

• Department Placement: Business Operations (BizOps)

• Available Working Locations: Bengaluru, Karnataka, India OR Hyderabad, Telangana, India (Preferred location selected during application process)

• Shift Requirement: Shift hours strictly aligned with North American time zones (Night/Evening shifts India time)

• Experience Threshold: 6+ Years of relevant analytical experience

• Employment Framework: Full-Time, Permanent Individual Contributor Track

• Industry Placement: Technology / Business Operations Consulting / Advanced Data Analytics