Top Senior Level Data & Analytics Jobs in Phoenix, AZ

The Manager of Data Governance will lead a team to develop and implement data governance strategies primarily within Salesforce, ensuring data accuracy and reliability. Responsibilities include overseeing data quality, resolving data issues, collaborating across departments, and organizing governance meetings while tracking improvements and maintaining standard operating procedures.

As a Senior Data Engineering Consultant, you will lead the implementation of cloud and AI solutions, drive architecture decisions, mentor junior engineers, and build strong client relationships to deliver innovative data solutions.

The Web Analytics and Optimization Lead will shape the web marketing strategy through data-driven insights to optimize performance and enhance user engagement. Responsibilities include monitoring traffic, conducting A/B testing, automating reporting, and collaborating with cross-functional teams to align analytics with business objectives, thereby driving strategic decisions for improvement.

The Senior Data Engineer will build and maintain ETL pipelines, develop entity resolution processes, implement risk calculation logic, collaborate with product teams to refine requirements, and oversee regular data releases in Sayari's data team.

As a Data Science TLM Manager, you will lead a team to enhance Airbnb's search and personalization strategy, ensuring high-quality models and collaboration with cross-functional teams. Responsibilities include mentoring data scientists, developing recommendation models, and analyzing the impacts of model changes on user experience.

The Web Analytics and Optimization Lead will enhance web performance by analyzing data, conducting A/B testing, and developing reporting processes. Collaborating with marketing and product teams, the role focuses on optimizing user experience and driving strategic decisions through data insights.

The Analytics Consultant focuses on developing and presenting data-driven insights for clients to enhance customer experiences and drive revenue. Key responsibilities include configuring analytics platforms, creating automated reports, developing measurement strategies, and implementing A/B testing and optimization techniques.