prioritization and external communications, you help shape the representation of the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more.
In this role, you'll be involved with product marketing strategy from beginning to end. The Google Workspace Growth Marketing team is responsible for delivering business growth and bringing the outlook of Google Workspace to life across our acquisition channels and web presence. We bring a data-driven approach to strategy development and partner closely with our Product Management and Regional Marketing partners
to optimize the funnel for growth. As a Paid Media Analyst for Google Workspace, you will be responsible for deeply understanding paid media performance and identifying key insights to improve efficiency and incrementally.
You will define and track success metrics and build experimentation and measurement plans (e. g. matched market, causal impact, etc. ) to increase our understanding of our paid media performance. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the
epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.
For United States applicants: The US base salary range for this full-time position is $126,000-$190,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in an analytically-intensive role, such as analytics, data science, management consulting, business intelligence, or corporate strategy. Experience measuring and attributing paid media to business impact.
Experience using SQL to pull analysis and draw insights. Preferred qualifications: Experience running analysis and making recommendations with a variety of media measurement methodologies (e. g. last touch, multi-touch, media mix modeling, etc. ) and understanding between different methods. Experience navigating and pulling data, from Google ad products and broader ecosystem of ad networks and ad tech. Ability to design and measure incremental business impact using various media measurement methodologies (e. g. target/control, pre/post, synthetic control, match market, etc.
). Ability to investigate data from multiple sources to troubleshoot issues and diagnose data issues. Effective communication skills and ability to drive discussions and presentations at all levels of the organization. Responsibilities Measure and attribute paid media contribution to the overall business. Prioritize and execute quantitative analyses and analyze trends to identify opportunities for paid media optimization. Build models to help forecast and anticipate paid media performance adjusting for seasonality, key initiatives, updated channel performance.
Utilize learnings from test markets to extrapolate and forecast results across international markets. Drive partnership and alignment with regional marketing teams, managing implementation of best practices for measurement, and aggregation of results to align with global plans. Drive operating cadence, goal setting, and tracking of paid media success metrics. Communicate performance trends to a wide variety of audiences (from senior leadership to new employees), and be the expert on the core metrics. Requisition #: 72673062815703750pca3lyuhf
patterns and create features necessary to build machine learning models that match e Bays inventory with customers demands. Build quick prototypes and data visualization tables during preliminary data exploration procedures to decide on the feasibility and direction of proposed solutions.
Develop the core text-based deep learning models used to generate recommendations for e Bay users. Work with data scientists, engineers, and multi-functional teams to produce end-to-end production-ready solutions. Provide technical leadership and mentoring to other team members for translation of business problems into machine learning algorithms. Minimum Requirements: Masters degree, or foreign equivalent,
in Computer Science, Engineering, Data Science, or a closely related field. Special Skill Requirements: 1. Python Programming Language2. Data Structures and Algorithms3.
Machine Learning Modeling4. Deep Learning Modeling5. Statistical Modeling6. Natural Language Processing7. Predictive Modelling8. SQL For Data Analysis9. Data Visualizations10. Hadoop & Spark Big Data Processing ETL Base Salary: $108,306-$180,000 per annum. 40 hours per week; M-F, 9:00 a. m. to 5:00 p. m. Must be legally authorized to work in the U. S. without sponsorship. To apply, please send your resume with references, specifying Req. #21-1585, by email to:
