Data Operations Solutions Consultant, Google Pl...
@ Google

Bengaluru, Karnataka, India
On Site
Posted 11 days ago

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Job Details

MINIMUM QUALIFICATIONS

Bachelor’s degree or equivalent practical experience. 5 years of experience in a technical project management or customer-facing role. Experience in an operations role and in a human evaluation or data labeling environment.

PREFERRED QUALIFICATIONS

Experience partnering with engineers, product managers, product specialists, or operations managers to drive product and process development. Proven problem solving using tools like SQL. Ability to build consensus and collaborate with cross-functional teams. Skilled at analyzing datasets to draw insights. Adept at adapting, prioritizing, and managing time in a fast-paced environment. Excellent communication and collaboration skills.

ABOUT THE JOB

The Platforms and Devices team oversees Google's computing software platforms across desktop, mobile, and applications, along with first party devices using Google AI and hardware. This role contributes to making user interactions faster and more seamless while building innovative experiences worldwide.

RESPONSIBILITIES

  • Own product data streams and implement evaluations to production.
  • Track data quality and operational KPIs for analysis and improvement.
  • Manage capacity planning and scheduling in collaboration with stakeholders.
  • Work with global vendor teams to identify and resolve data collection gaps.
  • Stay updated on data labeling methods and recommend improvements.

Key skills/competency

data operations, project management, operations, data labeling, SQL, human evaluation, KPI analysis, capacity planning, vendor management, cross-functional teamwork

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to data operations.
  • Highlight project management: Emphasize technical experience.
  • Showcase data skills: Include SQL and KPI handling.
  • Research Google Play: Understand its products and values.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query writing techniques.
Practice KPI data analysis methodologies.
Brush up on data labeling processes.
Study capacity planning and scheduling tools.

Behavioral Questions

Describe conflict resolution experience.
Explain cross-team collaboration challenges.
Discuss handling high-pressure situations.
Share prior experience adapting priorities.

Frequently Asked Questions