Analytics & Insights Senior Associate - gData - Business Intelligence

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!

In gData, we are the owners of the operations data in gTech Ads. We ensure our users have access to aligned, accurate and useful business metrics and dimensions that support their operations. We deliver on our mission, and collaborate with our partners, in order to achieve a gTech Ads Ecosystem with:

• Single-source-of-truth data that is robust, high-quality and trusted
• Informative visualizations supporting reporting and understanding
• Automated insights and analyses that enhance decision making at all levels
• Reporting infrastructure that is stable and scalable

In understanding the user needs, we partner directly with operations, analytics and central strategy teams to align and define operations data concepts. To deliver reporting, we partner with the Customer Engineering (CE) and Tools Development and Automation (TDA) organizations. Where there is a gap between business requirements and available products, we prioritize the need, identify solutions and deliver resulting product initiatives.

Position Responsibilities

• You’ll be developing the data infrastructure necessary to ensure that gTech Ads team members have the product, support, and operations data they need to make crucial business decisions
• You’ll partner with our business and enablement teams to create visualization solutions and have the opportunity to design innovative data solutions while solving challenging problems using Google’s large-scale production data infrastructure
• You’ll act as a technical liaison between the business teams and Engineering and supervise the design of new data products and optimize how they will perform

Minimum Requirements

• Minimum 2 years of experience working with advanced SQL: manipulating and managing large datasets to derive insights. Experience in working with reporting tools
• Basic to intermediate proficiency with Java/Apps Script/Python//VBA Script
• Technical expertise in building, troubleshooting and maintaining ETL pipelines; knowledge in OLAP technologies and data warehousing
• Ability to handle multiple projects in a fast-paced environment
• Effective communication and stakeholder management skills
• Excellent problem-solving and analytical skills

Preferred Qualifications

• Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable:
• Ability to build and maintain relationships with key stakeholders
• Acumen to identify and capitalize on technical improvement and optimization opportunities
• Experience serving as a technical liaison between the business and engineering teams
• Experience supervising the design of new data products and optimizing how they will perform

Benefits

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

• We support your family with gender-neutral baby bonding leave, 14 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 

At the Google Operations Center, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our products, and our community. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

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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].