It takes powerful technology to connect our brands and partners with an audience of nearly 900 million.
Whether you're looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.
Want in?
Yahoo's Business Insights and Analytics team is looking for a versatile data enthusiast with rich experience in big data processing, excellent analytical skills and proven ability to communicate analytical findings.
Responsibilities
Understand the Business and Data: Support Business subject matter experts to discover insights into advertiser, publisher, product, user, and auction dynamics.
Understand the underlying data systems and schemas that can inform these measurements.
Analysis & Dashboarding: Conduct ad hoc investigations and create ongoing dashboards and reports that provide analysis and commentary, explaining business trends and market drivers using intuitive visualizations (Looker, Tableau, R, Spreadsheets, etc).
Data Engineering: Develop data pipelines (ETL) from multiple data sources with design, performance, and end customer in mind (Pig, Hive, Oozie, Python, SQL, PLSQL, etc).
Partner with engineering teams across data sources to address technical and functional requirements.
Investigation & Troubleshooting: Expert at "cracking" complex business and analytical problems.
In particular, experience in working with large data sets, identifying and troubleshooting data discrepancies via automated scripts, developing data models/schemas, and working cross-functionally towards resolution.
Communication: Effectively communicate insights and analyses, both verbally and in writing.
Data Governance: Streamline data & tools footprint in alignment with Data Governance objectives.
Requirements
Solid professional experience.
BS/MS in quantitative field or equivalent experience.
Experience with scripting programming languages such as Python/R is highly desirable.
Familiarity with Unix/Linux environment highly recommended.
Extensive years of experience in analytics, data engineering, and dashboards.
Critical thinker with the ability to analyze and evaluate situations objectively; capable of making recommendations and decisions based on what's best for the business goal at hand.
Experience working with large and complex data sets.
Experience with data visualization tools (e.g. Looker, Tableau, etc).
Passionate
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