Product Analyst II

The Data Measurements and Insights team works on one of the largest online advertising and audience data sets in the world. We leverage our data to give our business a competitive advantage through insightful data and analytics and help build measurement solutions and products that our customers love. We drive data logging standards to ensure high data quality that leads to accurate measurement. We are passionate about data driven product development and deep dive into large data sets to gather actionable insights and influence product and business decisions. We drive experimentation design and analysis to launch product features that improve user experience and monetization.

Responsibilities

We're looking for world-class, data geeks to join our data science and advanced analytics team where you will have the opportunity to leverage latest technologies to mine large amounts of data and develop deep data-driven insights, identify and prioritize relevant insights for business, and communicate effectively and efficiently to drive business and product decisions.

Your Day

• Collaborate with cross-functional teams to solve business challenges through data analysis on advertising and search domain.

• Work with product teams to understand business problems, frame the problem into questions that can be answered through data analysis, formulate analysis plans, analyze data and derive actionable insights.

• Communicate your findings effectively and efficiently with product partners and executives to drive product and business decisions.

• Work with product teams to provide guidance on logging standards, data validation, A/B test design, set up and measurement.

• Extract data from Hadoop file system using Pig/Hive, use statistical tools and techniques to turn data into insights and use data visualization tools to tell-the-story.

Basic Qualifications

• 3+ years of experience as a product analyst generating actionable insights that aid data-driven decisions in building great products with great user experience.

• Proven record of delivering actionable insights through exploratory data analysis & predictive analytics using statistical and machine learning techniques and concepts.

• Familiarity with Experiment Design, Hypothesis Testing, Time Series Analysis, User Segmentation, LTV and User Retention Models.

• Excellent problem solving, analytical, abstract thinking skills and business acumen to understand business problems and convert it into data problems, collect and organize data, analyze and formulate insights.

• Ability to effectively and efficiently communicate the findings to product teams and executives and influence product and business decisions. Ability to explain complex analytical concepts to non-experts.

• Proficient in data analysis tools and programming languages such as Excel, SQL, Python or R.

• Proficient in data visualization tools such as Google Studio, Tableau, Looker.

• Experience with big data technologies such as Hadoop (Pig/Hive), Spark, or other related technologies.

• Self-motivated and results-driven.

Preferred Qualifications

• M.S. in Statistics, Applied Mathematics, Computer Science, or a related quantitative field.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form () or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion () page to learn more.

US Only: Please be aware that Yahoo requires all employees entering a U.S. Yahoo office and/or attending a company event (including client events) are required to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination to enter a U.S. Yahoo office and/or attending a company event (including client events). Yahoo is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don't require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you'll be given notice to make arrangements.

If you're curious about how this factors into this role, please discuss with the recruiter.

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