📌 Core Information
🔹 Job Title: Business Intelligence Analyst, Growth Marketing, Conversion
🔹 Company: Google
🔹 Location: Sunnyvale, California, United States
🔹 Job Type: On-site
🔹 Category: Business Intelligence
🔹 Date Posted: May 22, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: On-site
🚀 Job Overview
Key aspects of this role include:
- Conducting data-oriented analysis to inform strategic marketing direction
- Supporting the design and implementation of marketing campaigns
- Building and analyzing metrics for business performance measurement and experimentation
- Collaborating with cross-functional stakeholders, including Engineering, Marketing, and Sales
- Bringing data to life through compelling narratives and user-friendly dashboards
ASSUMPTION: This role requires a strong background in data analysis and marketing to effectively drive strategic decisions and support campaign development.
📋 Key Responsibilities
✅ Collaborate with cross-functional stakeholders to complete analysis, integrate multiple data sources, and generate business insight
✅ Deliver user-friendly and informative dashboards and recurring reports, iterate and prototype to meet business needs
✅ Provide advanced analytics and experimentation support, enabling data-driven marketing by applying statistical techniques to solve business problems
✅ Support the design and implementation of A/B testing, multivariate hypothesis tests, and leverage causal inference methods as appropriate
✅ Demonstrate subject matter expertise and technical leadership in data extraction and manipulation, dashboards, visualization, and analytical/statistical/data mining techniques
ASSUMPTION: The role requires a mix of technical skills and strong communication abilities to effectively work with various teams and stakeholders.
🎯 Required Qualifications
Education: Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience
Experience: 3 years of experience in analyzing data using statistical and quantitative modeling, translating business problems into research questions, analyzing data sets using SQL, and managing research and measurement agencies
Required Skills:
- Data analysis and statistical modeling
- SQL
- Collaboration with cross-functional stakeholders
- Data visualization and dashboard creation
- Experimental design and analysis
Preferred Skills:
- Master's degree in a quantitative field
- Experience creating A/B tests and multivariate hypothesis tests
- Experience collaborating with cross-functional stakeholders to drive consensus on requirements
- Experience presenting to leadership and representing quantitative concepts
- Experience building Extract Transform Load (ETL) pipelines
- Experience with marketing or product analytics data
ASSUMPTION: While the role requires a specific set of skills, the ideal candidate will also possess strong problem-solving abilities and the capacity to learn new tools and techniques as needed.
💰 Compensation & Benefits
Salary Range: $114,000 - $163,000 per year (US base salary range, inclusive of bonus, equity, and benefits)
Benefits:
- Bonus
- Equity
- Benefits (including health, dental, vision, and retirement plans)
Working Hours: Full-time position with standard business hours (40 hours per week)
ASSUMPTION: The salary range provided is inclusive of bonus, equity, and benefits, and is determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
📌 Applicant Insights
🔍 Company Context
Industry: Google Cloud is a subsidiary of Alphabet Inc., focusing on cloud computing services and products. It operates within the broader technology industry, competing with other major players like Amazon Web Services and Microsoft Azure.
Company Size: Google Cloud has over 10,000 employees, providing a large and diverse work environment with ample opportunities for collaboration and growth.
Founded: Google Cloud was founded in 2018, making it a relatively new but rapidly growing division of Alphabet Inc.
Company Description:
- Google Cloud provides a range of cloud computing services and products, including data analytics, machine learning, and AI, to help businesses and organizations address their security challenges
- The company leverages many of the same capabilities Google uses to keep more people and organizations safe online than anyone else in the world
- Google Cloud Security offers comprehensive cybersecurity solutions, including Mandiant frontline intelligence and expertise, a modern, intel-driven security operations platform, a secure-by-design cloud foundation, and more, all supercharged by AI
Company Specialties:
- Cloud Computing Services
- Data Analytics
- Machine Learning and AI
- Cybersecurity
Company Website: https://cloud.google.com/security
ASSUMPTION: Google Cloud Security is a division of Google focused on providing comprehensive cybersecurity solutions to businesses and organizations.
📊 Role Analysis
Career Level: This role is suitable for experienced professionals with a strong background in data analysis and marketing, seeking to advance their career in a dynamic and growing industry.
Reporting Structure: The Business Intelligence Analyst will collaborate with cross-functional stakeholders, including Engineering, Marketing, and Sales, and may report directly to the Growth Marketing team or a related department.
Work Arrangement: This is an on-site position, requiring the candidate to work from the company's office in Sunnyvale, California.
Growth Opportunities:
- Expanding expertise in data analysis and marketing within the growing Google Cloud division
- Potential to take on more strategic or leadership roles as the company continues to grow
- Opportunities to work on high-impact projects and collaborate with diverse teams
ASSUMPTION: The role offers ample opportunities for professional growth and development within the dynamic and expanding Google Cloud division.
🌍 Location & Work Environment
Office Type: Google Cloud's office in Sunnyvale, California, is a modern and collaborative workspace designed to foster innovation and creativity.
Office Location(s): 250 Mayfield Ave, Mountain View, California 94043, US
Geographic Context:
- Sunnyvale is located in the heart of Silicon Valley, providing ample opportunities for networking and professional growth
- The area offers a diverse range of cultural attractions, recreational activities, and dining options
- Sunnyvale has a Mediterranean climate, with mild winters and warm, dry summers
Work Schedule: Standard business hours (Monday-Friday, 9:00 AM - 5:00 PM, with flexibility for occasional remote work)
ASSUMPTION: The work environment is dynamic, collaborative, and innovative, with a strong emphasis on teamwork and cross-functional collaboration.
💼 Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or hiring manager
- Technical assessment or case study presentation
- On-site interviews with cross-functional stakeholders
- Final decision and offer
Key Assessment Areas:
- Data analysis and statistical modeling skills
- Collaboration and communication abilities
- Problem-solving and critical thinking
- Cultural fit and alignment with Google's values
Application Tips:
- Tailor your resume and cover letter to highlight relevant skills and experiences
- Prepare for technical assessments or case studies by brushing up on your data analysis and statistical modeling skills
- Research Google Cloud Security and the role's responsibilities to demonstrate your enthusiasm and understanding during interviews
ATS Keywords: Data Analysis, Statistical Modeling, SQL, A/B Testing, Marketing Analytics, Data Visualization, Cross-Functional Collaboration, Causal Inference, ETL Pipelines, Dashboard Creation, Quantitative Research, Business Insight, Experimental Design, Data Extraction, Data Manipulation, User-Friendly Reporting
ASSUMPTION: The application process may vary depending on the specific role and department, but generally follows a structured and thorough assessment of the candidate's skills and cultural fit.
🛠️ Tools & Technologies
- SQL
- Data visualization tools (e.g., Tableau, Power BI)
- Statistical software (e.g., R, Python, SPSS)
- ETL tools (e.g., Talend, Pentaho)
- Marketing analytics tools (e.g., Google Analytics, Mixpanel)
ASSUMPTION: The ideal candidate will possess experience with relevant data analysis and marketing tools, as well as a willingness to learn and adapt to new technologies as needed.
👔 Cultural Fit Considerations
Company Values:
- Users first
- Innovation
- Inclusion
- Integrity
- Transparency
Work Style:
- Collaborative and team-oriented
- Data-driven and analytical
- Adaptable and flexible
- Results-focused and action-oriented
Self-Assessment Questions:
- Do you possess strong data analysis and statistical modeling skills?
- Are you comfortable collaborating with cross-functional stakeholders and communicating complex ideas effectively?
- Do you thrive in a dynamic and innovative work environment, and are you eager to learn and adapt to new tools and technologies?
ASSUMPTION: Google values diversity, inclusion, and collaboration, seeking candidates who align with their core values and work style.
⚠️ Potential Challenges
- Working with large and complex datasets, requiring strong data analysis and statistical modeling skills
- Collaborating with cross-functional stakeholders, requiring strong communication and project management abilities
- Keeping up with the latest trends and developments in data analysis and marketing, as the field is constantly evolving
- Balancing the demands of multiple projects and priorities, requiring strong time management and organizational skills
ASSUMPTION: The role presents unique challenges that require a strong skill set and the ability to adapt to a dynamic and fast-paced work environment.
📈 Similar Roles Comparison
- Compared to other Business Intelligence Analyst roles, this position places a strong emphasis on marketing and campaign development, requiring a unique blend of data analysis and marketing skills
- Within the broader technology industry, this role is competitive and offers opportunities for professional growth and development
- Career paths for successful candidates may include advancing to more strategic or leadership roles within the Google Cloud division
ASSUMPTION: The role offers a unique blend of data analysis and marketing responsibilities, requiring a versatile and adaptable skill set.
📝 Sample Projects
- Conducting A/B tests to optimize marketing campaign performance
- Developing user-friendly dashboards to communicate business insights effectively
- Analyzing customer data to identify trends and opportunities for targeted marketing campaigns
ASSUMPTION: The role involves a diverse range of projects, requiring strong data analysis and communication skills to drive strategic decisions and support campaign development.
❓ Key Questions to Ask During Interview
- How does this role fit into the broader Google Cloud Security organization, and what are the key priorities for the first 90 days?
- What are the most significant challenges facing the team currently, and how can this role contribute to addressing them?
- How does Google support the professional development and growth of its employees, particularly in the area of data analysis and marketing?
- What is the team's approach to collaboration and cross-functional stakeholder management, and how can this role contribute to fostering a positive and productive work environment?
- What are the key performance indicators (KPIs) for this role, and how will success be measured?
ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in and understanding of the role and the company.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant skills and experiences, emphasizing your data analysis and marketing abilities
- Prepare for technical assessments or case studies by brushing up on your data analysis and statistical modeling skills
- Research Google Cloud Security and the role's responsibilities to demonstrate your enthusiasm and understanding during interviews
- Follow up with the recruiter or hiring manager within one week of submitting your application to express your interest and reiterate your qualifications
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
