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Excellence Strategy and Operations Analyst, People Experience

Karnataka, India (On-site)

Excellence Strategy and Operations Analyst, People Experience

1 Hour ago • 6 Years + • Data Analyst

About the job

5 skills required for this role

Add these skills to join the top 1% applicants for this job

sql

cross-functional-collaboration

forecasting-budgeting

cross-functional

organisational-skills

Job Description

As an Excellence Strategy and Operations Analyst in Google's People Experience (PX) team, you'll partner with PX teams to provide data-driven insights that optimize operational efficiency and strategic decision-making. You will leverage your analytical expertise and collaboration skills to continuously improve Google's operations and support functions. Responsibilities include building quantitative models for capacity planning and Global Support initiatives, consulting on metric selection, collaborating with Global Support teams to define impactful metrics, applying quantitative and qualitative methodologies to solve operational challenges, driving cross-functional collaboration, developing data analysis tools, and building partnerships with PX leadership and other teams. You will communicate strategic recommendations derived from data insights to improve Google's operational efficiency.

Must have:

Bachelor's degree or equivalent experience
6 years experience in business strategy or cross-functional initiatives
Data analysis, metric development, translating data into actionable recommendations
Model complex data to create quantitative models
Consult with PX teams on metric selection
Collaborate with Global Support teams

Good to have:

Master's degree in Business, Statistics, or related field
Excellent project management and organizational skills
Proficiency in data analysis tools (SQL), spreadsheet modeling, and database querying

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
6 years of experience developing business strategies or managing cross-functional initiatives.
Experience in data analysis, metric development, and translating data into actionable recommendations.

Preferred qualifications:

Master's degree in Business, Statistics, Computer Science, or a related field.
Excellent project management and organizational skills.
Demonstrated proficiency in data analysis tools (SQL), spreadsheet modeling, and database querying.

About the job

In this role, you will partner with People Experience (PX) teams to provide comprehensive data insights that optimize Google's operational efficiency and strategic decision-making. You'll bring a strategic blend of analytical expertise and stakeholder collaboration to ensure Google's operations and support functions are continuously improved through data-driven insights.

Responsibilities

Model complex data to create quantitative models (forecasting, operational, and statistical) for both PX capacity planning and Global Support initiatives. Analyze results to provide targeted recommendations to diverse teams.
Consult with PX teams on metric selection and value realization methodology. Collaborate with Global Support teams to define impactful metrics that support performance goals.
Apply quantitative and qualitative methodologies to address complex operational challenges across PX. Drive cross-functional collaboration to implement insights and maximize impact.
Identify, develop, and maintain tools that streamline data analysis, reporting, and insight generation. Stay updated on Google's evolving data environment in collaboration with relevant engineering and data teams.
Build partnerships with PX leadership, Finance, and analytical teams. Communicate strategic recommendations derived from data insights.

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About The Company

Google

3316 Active Jobs

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.