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Google Data Analyst, Risk Recruitment 2026: Apply Online for Various Vacancies | jobscheck.in
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Google Data Analyst, Risk Recruitment 2026: Apply Online for Various Vacancies

Data Analyst, Risk

📍 Location: Hyderabad, Telangana, India
💼 Type: Full-time
💻 Work Mode: Full-time (On-site/Hybrid)
Experience Required
2+ Years
Salary / Package
Competitive / Best in Industry
Work Mode
Full-time (On-site/Hybrid)
Openings
Various

Job Overview

Google is seeking a highly analytical and detail-oriented Data Analyst, Risk to join our world-class team. In this role, you will play a critical part in safeguarding Google’s platforms and users from fraud, abuse, and security threats. You will leverage your technical expertise, statistical knowledge, and analytical mindset to dissect complex datasets, uncover hidden patterns, and design robust risk mitigation strategies. This is a full-time position that offers an unparalleled opportunity to work with massive datasets and cutting-edge technologies at an unprecedented global scale.

As a Data Analyst in the Risk division, you will not only analyze data but also translate those insights into actionable product and policy improvements. You will collaborate closely with software engineers, product managers, policy experts, and legal teams to build automated detection systems and improve existing tools. Your work will directly impact the safety and trust of billions of users worldwide who rely on Google’s services daily.

Key areas of focus for this role include:

  • Advanced Data Analysis: Utilizing SQL, Python, or R to perform deep-dive analyses on user behavior, transaction patterns, and system logs to identify anomalies and potential risk vectors.
  • Risk Mitigation & Fraud Prevention: Developing and refining machine learning models and heuristic rules to proactively detect and prevent spam, abuse, and fraudulent activities across various Google products.
  • Project Management: Leading cross-functional initiatives from conception to execution, defining project scopes, setting clear goals, and delivering measurable results to stakeholders.
  • Stakeholder Communication: Translating complex technical findings into clear, concise reports and presentations for non-technical stakeholders, influencing product roadmaps and policy decisions.
  • System Optimization: Evaluating the performance of existing automated detection systems and implementing data-driven enhancements to reduce false positives and improve detection accuracy.

At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. The Risk Analysis team is at the heart of this mission. Every day, malicious actors attempt to exploit our systems, and our job is to stay one step ahead. By joining this team, you will become part of a global network of analysts and engineers dedicated to maintaining user trust. You will have access to Google’s proprietary infrastructure, enabling you to run queries on petabyte-scale datasets in seconds. This role requires a unique blend of technical prowess, business acumen, and ethical responsibility. You will be expected to think like an adversary to anticipate their next moves, while simultaneously designing elegant, scalable engineering solutions to block them. Whether it is protecting Google Pay from financial fraud, securing Google Accounts from hijacking, or keeping Google Play free of malware, your analytical contributions will be vital. We provide a highly collaborative environment where continuous learning is encouraged, and you will have the opportunity to grow your career across various domains of data science, engineering, and product management.

Key Job Details

Company NameGoogle
Job RoleData Analyst, Risk
Experience2+ Years
Salary RangeCompetitive / Best in Industry
Job TypeFull-time
Work ModeFull-time (On-site/Hybrid)
OpeningsVarious
Job LocationHyderabad, Telangana, India

Key Responsibilities

  • Analyze and solve complex problems using data and statistical methods.
  • Identify and prevent fraud, abuse, and security vulnerabilities across Google platforms.
  • Improve tools and automated systems through data analysis and technical expertise.
  • Present insights and strategic recommendations to cross-functional stakeholders.

Requirements & Qualifications

  • Bachelor’s degree or equivalent practical experience in a quantitative field.
  • 2 years of experience in data analysis, including identifying trends and generating summary statistics.
  • 2 years of experience managing projects and defining project scope, goals, and deliverables.
  • Familiarity with SQL, R, Python, or C++.
  • Familiarity with machine learning systems.
  • Excellent written and verbal communication skills.

Required Skills

  • SQL & Database Querying
  • Python / R Programming
  • Statistical Data Analysis
  • Machine Learning Systems
  • Project Management
  • Fraud & Abuse Detection
  • Data Visualization
  • Stakeholder Communication

About Google

Google is a global technology leader focused on improving the ways people connect with information. Google’s innovations in web search and advertising have made its website a top internet property and its brand one of the most recognized in the world.

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Frequently Asked Questions

Q: What is the qualification for Google Data Analyst Risk?
A: A Bachelor’s degree in a quantitative field is required, while a Master’s degree is preferred.
Q: Is there an application fee?
A: No, Google does not charge any application fee for its recruitment drives.
Q: What programming languages are required?
A: Familiarity with SQL, Python, R, or C++ is highly recommended.
Q: Where is the job location?
A: The primary location for this role is Hyderabad, India.
Q: How many years of experience are needed?
A: At least 2 years of experience in data analysis and project management is required.
Disclaimer: This job post is prepared by collecting data from the official career page of Google. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.