Analytics & Insights Specialist - Analytics

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!

As an Analytics and Insights Specialist, you will leverage your expertise in SQL and data visualization to build, maintain, and enhance critical dashboards and reporting frameworks, ensuring data integrity and using your findings to deliver key business recommendations and manage high-impact analytical projects across cross-functional teams.

Position Responsibilities

• Maintain the SQL codebase that powers the Actioned Revenue Dashboard 

• Build new dashboard functionalities and make sure that the existing dashboard is up to date, active, easy to read and answer any questions from Stakeholders regarding numbers in the dash

• Add new features to the existing AR framework, maintaining the test environment and the production environment and ensuring that all new features are tested, signed off on, and flow through dash

• Build and maintain an anomaly detection to ensure that the numbers being populated are sensible

• Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed

• Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

• Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities

Minimum Qualifications

• Presentation Skills, Microsoft Excel, Critical Thinking, Unstructured Data

• Excellent verbal and written English language skills with good business acumen and storytelling of deep data insights to business stakeholders

• Bachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science,Mathematics etc) or equivalent practical experience

• 4+ years of quantitative work experience in marketing 

• 3+ years of technical hands-on experience in Structured Query Language (SQL), Data Visualization tools such as Tableau, Power BI, Data Studio etc.

Preferred Qualifications

• Masters in Statistics, Computer Science, Econometrics or related quantitative discipline.

• Some experience in digital marketing to understand customer based and revenue generations

• Proficiency in one scripting or statistical programming language (e.g. R, Python) to implement statistical analysis

• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

• Ability to convince business stakeholders and communicate complicated analysis insights to non-technical audiences.

Benefits

• We support you with competitive wages and with comprehensive health care including medical, dental and vision coverage

• We support your family with gender-neutral baby bonding leave, 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

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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 [email protected].