Top Remote Data & Analytics Jobs in Phoenix, AZ

The SEO Analyst will launch and execute SEO strategies by developing ETL pipelines, leveraging APIs for data access, conducting data analysis and reporting, implementing A/B testing for conversion optimization, and executing technical SEO strategies. They will collaborate closely with the content and engineering teams to enhance site performance and user engagement.

The Data Scientist will leverage analytical skills to extract insights from complex datasets, develop and deploy predictive models using machine learning algorithms, and communicate findings to various stakeholders. The role requires collaboration with product and engineering teams and involves creating visualizations and refining algorithms based on performance metrics.

As a Data Scientist, you will extract insights from complex datasets, develop predictive models using machine learning algorithms, and collaborate with various teams to deliver product capabilities and support decision-making processes. Your role requires strong analytical skills, strategic thinking, and the ability to communicate insights effectively.

The Data Scientist will develop algorithms and predictive models for Salesforce applications, utilize data wrangling and visualization tools, manage data as a product, and collaborate with teams to improve user experience through experimentation and strategic analysis.

Trace3 is looking for professionals to join their Data Intelligence Team. The role emphasizes flexible and resilient approaches in dynamic environments, focusing on driving results and teamwork. Candidates should embody the spirit of innovation and contribute positively to the company's mission.

Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.

The Senior Data Engineer at Found will design and maintain data infrastructure and pipelines to ensure efficient data flow throughout the organization. Responsibilities include developing data models, managing data warehouses, optimizing ETL processes, and collaborating with various teams to meet data needs.