Top Remote Analytics Engineer Jobs

The Analytics Engineer II will collaborate with teams to translate business requirements into technical solutions, focusing on data extraction, integration, and analysis using Power BI and advanced SQL. Responsibilities include developing data models, optimizing reporting, and ensuring data governance while managing projects through Azure DevOps. Candidates will leverage their skills in complex data transformations and manage version control with Git.

The Analytics Engineer at Minitab supports customer success by providing technical assistance, resolving inquiries, documenting customer feedback, and improving product deployment processes. They collaborate with cross-functional teams to enhance customer experience and ensure product functionality aligns with customer needs.

The Analytics Engineer at Rocket Money will work with cross-functional teams to deliver product features, model customer data, and improve data processes. Responsibilities include building and maintaining data models, collaborating with engineering teams, managing multiple projects, and communicating with stakeholders to ensure effective data utilization for analytics purposes.

The Analytics Developer II will create data models, reports, and dashboards to support internal operations and client solutions. Responsibilities include developing advanced analytics using LookML and SQL, designing reports, mentoring juniors, and collaborating with various teams to provide insightful analytics solutions.

As an Analytics Developer I, you will define business requirements for claims processing, create data-driven operational protocols, and work with product teams to implement these. You'll also prepare reports, analyze data for insights, and support project communications, ensuring timely delivery and quality in projects.

The Data Analytics Engineer III at MyFitnessPal will ensure data quality and governance, design automated data validation frameworks, conduct ad hoc analyses, and collaborate with the Data Platform team to enhance data processes. The role involves integrating services, documenting technical requirements, and mentoring others while promoting an inclusive work environment.

As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.

The Senior Data Engineer/Analytics Engineer will be responsible for developing complex data pipelines and ensuring high-quality code. They will collaborate with the team to design data models and implement best practices in data management, enabling self-service analytics using the company’s various data technologies and tools.

As a Customer Journey Analytics Engineer, you will configure Adobe CJA, manage data integration, develop dashboards, and collaborate with cross-functional teams to enhance customer experiences. The role focuses on delivering insights to improve business outcomes and optimizing customer journeys through analytics solutions.

As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, ensure data consistency and quality, provide documentation for downstream teams, and collaborate with finance and analytics for business metrics. Your goal is to drive effective data access, model performance, and support high-quality insights.

As an Analytics Engineer at Flex, you will develop and maintain core data models, collaborate with departments to define business metrics, ensure data accessibility, and drive data quality initiatives. You will create documentation for downstream teams and regularly audit data models for accuracy, playing a vital role in establishing data integrity across the organization.

The Analytics Engineer will design and implement data models using dbt and SQL, develop data pipelines, and collaborate with various teams to enhance blockchain analytics capabilities. Responsibilities include mentoring, creating product specifications, and contributing to standardized blockchain data frameworks.

The Analytics Engineer at Fetch will model and analyze data using SQL, leverage tools like DBT and Snowflake, and implement engineering best practices for data performance. They will translate business requirements into actionable data models, communicate insights to stakeholders, and maintain data quality initiatives.

As an Analytics Engineer II, you will design and build data models, dashboards, and visualizations to solve business problems. Collaborate with Agile teams to translate business needs into data solutions, support production processes, and recommend optimizations for BI applications. Engage in ongoing learning and development to enhance your capabilities.

As a Data Engineer, you will design and implement data pipelines using AWS services and other tools, improve data frameworks, troubleshoot data quality issues, and automate tasks. Proficiency in Go, Python, and SQL is crucial, along with experience in CI/CD and cloud technologies.

Design, implement, and maintain ETL processes, ensuring data accuracy and providing insights for business growth. Collaborate with teams to gather requirements, optimize workflows, and support data operations using various technologies, especially within a Kubernetes environment.