Top Remote Senior Level Data & Analytics Jobs in Portland, OR

As a Senior Data Engineer at Gemini, you will design and implement data warehousing solutions, build and automate data pipelines, mentor team members, address production issues, and collaborate with various teams to derive insights. Your focus will be on enhancing data architecture and ensuring operational excellence through validation and documentation.

Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.

The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.

As a Senior Data Analyst at Amplify, you will be responsible for using data to inform business strategy, product development, and impact the lives of millions of students globally. You will work on reporting frameworks, analyze cross-selling patterns, provide key metrics to the executive team, empower customer success managers, and reduce costs for the Professional Development team.

The Senior Manager of Analytics at Lyra Health will lead a centralized analytics team, focusing on scalable reporting and insights for provider operations teams. Responsibilities include managing team contributions, collaborating on data projects to enhance analytics efficiency, and supporting team culture in a remote-first environment.

As a Staff Data Engineer at Twilio, you will design, build, and maintain data pipelines, optimize data warehouse structures, and collaborate with cross-functional teams to leverage data for business strategies. You will also develop machine learning infrastructure and ensure efficient data processing and analysis.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.