Analytics & Insights Specialist, Ads Campaign Operations
Google Operations Center
Job Overview
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Job Description
Analytics & Insights Specialist, Ads Campaign Operations
Join Us!
At Google Operations Center we help Google users and customers solve problems and achieve their goals—all while enjoying a culture focused on improving continuously and being better together. We work hard, we play hard, and we want you to join us!
The Data Specialist serves as the subject matter expert for everything data related to email marketing campaigns managed by the Ads Campaign Operations (ACO) team. This includes understanding available signals, building and maintaining pipelines for campaign targeting sets, and monitoring campaign health while troubleshooting any issues. Beyond technical excellence, this role requires confident communication about the data aspect of campaigns to internal and external stakeholders.
The base salary range for this full-time position is $81,000 - $98,000 + bonus + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in this role posting reflect the base salary only, and do not include bonus or benefits. Some benefits information is included in this job description, and your recruiter can share more about the specific salary range and benefits for this position during the hiring process.
Position Responsibilities
- Collaborate with stakeholders to manage audience signals, build target audiences, and leverage them throughout the campaign execution process.
- Create, manage, and validate campaign audiences using SQL scripting.
- Collaborate with analytics teams on experiment setup, providing insights into campaign signals, explaining system behavior and its impact on setup, and confirming feasibility of implementation.
- Maintain and operate data pipelines, ensuring smooth operation, resolving issues, and implementing improvements for efficiency and effectiveness.
- Communicate campaign performance results to teams and stakeholders.
- Create reporting dashboards and ad hoc reports for marketers.
- Build key relationships with stakeholders and communicate technical information clearly to non-technical audiences.
- Serve as the subject matter expert for data availability for marketing campaigns.
Minimum Qualifications
- 5+ years of experience with SQL, including data pipeline building and maintenance, and crafting complex SQL statements for precise audience targeting.
- Ability to leverage code libraries for streamlined code readability and enhanced efficiency.
- Experience working with data visualization tools such as Tableau, Looker, and Google's internal PLX/Data Studio.
- 2-3 years of experience in data pipelines and analytics specifically for email marketing.
- Proven experience in a marketing environment within the IT industry.
- Experience with integrated development environments like XCode, VSC, or Eclipse (Google internal: Cider) and version control systems like GitHub (Google internal: google3).
Preferred Qualifications
- Additional languages besides SQL (e.g. Python) are a plus, but not required.
- Excellent collaboration and communication skills and stakeholder management.
- Ability to clearly communicate data-driven observations and recommendations.
- Proven expertise in email marketing best practices, including dynamic content, testing methodologies, deliverability, and automation.
- Experience using GenAI (generative AI) to inform data targeting and personalization in email marketing.
- Experience designing, executing, and evaluating A/B tests for email marketing.
Benefits
- Competitive wages and comprehensive health care including medical, dental and vision coverage.
- Gender-neutral baby bonding leave, 24-26 week birth-parent maternity leave, and generous life, accident and disability insurance minimums.
- Employees who work onsite can enjoy free meals and snacks, and fun onsite experiences.
Information collected and processed as part of your Google Operations Center (GOC) jobs profile, and any job applications you choose to submit, is subject to GOC's Applicant and Candidate Privacy Policy.
Google Operations Center (GOC) is committed to equal employment opportunities regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
To ensure a barrier-free interview, please mention any required assistance or specific arrangements in your application and confirm them with your recruiter.
To all recruitment agencies: Google Operations Center (GOC) does not accept agency resumes. Please do not forward resumes to our jobs alias, GOC employees, or any other organization location. GOC is not responsible for any fees related to unsolicited resumes.
Thanks for your interest in this opportunity! Our recruitment team will contact you if your profile is a good fit for the role. If you don't hear from us within 2-3 weeks, please consider your application unsuccessful at this time. We value your patience throughout this time. For any questions, feel free to reach out to us at goc-candidate-global@googleoperationscenter.com.
Key skills/competency
- SQL
- Data Pipelines
- Email Marketing
- Audience Targeting
- Data Visualization
- Campaign Operations
- Stakeholder Management
- A/B Testing
- Reporting & Dashboards
- Troubleshooting
How to Get Hired at Google Operations Center
- Research Google Operations Center's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight extensive experience with SQL, data pipelines, email marketing analytics, and data visualization tools.
- Showcase your data expertise: Prepare portfolio examples demonstrating complex SQL queries, dashboard creation, and audience targeting strategies.
- Master behavioral questions: Practice STAR method responses illustrating collaboration, stakeholder communication, and problem-solving in data-intensive environments.
- Understand Google's interview process: Familiarize yourself with their hiring philosophy and be ready to articulate your technical and interpersonal skills.
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