Top Remote Analytics Engineer Jobs
The Lead Analytics Engineer will spearhead the development and optimization of data analytics frameworks and infrastructure. Responsibilities include leadership, strategic planning, project management, technical implementation, collaboration, and continuous improvement. Qualifications include expertise in SQL, Snowflake, ETL, Airflow, and Dagster, with programming skills in Python and experience with GIT.
SeatGeek is seeking an Analytics Engineer to join their Data team. The role involves developing data pipelines, collaborating with stakeholders, architecting data models, and ensuring clean, analysis-friendly datasets. The Analytics Engineer will play a crucial role in driving data-driven decision-making at SeatGeek.
Experienced Analytics Engineer needed to support data insights and analytics efforts at Cylinder, a virtual health platform. Responsibilities include managing BI semantic layer, ETL processes, reporting needs, and enhancing data quality and reliability. Collaborate with internal teams to integrate AI program into patient-centered experience.
As an Analytics Engineer at EquipmentShare, you will establish pipelines and structures for metrics, collaborate with the Data Science team, and contribute to modern product development. The role requires strong communication skills and a background in computer science or related fields.
Seeking a skilled Analytics Engineer to collaborate with various teams in designing and prioritizing solutions to scale data products. Responsibilities include writing code, building visualizations, monitoring data systems, and contributing to team processes.
Givebutter is looking for a talented and passionate Analytics Engineer to join their growing Data team. The role involves designing and implementing data models, building data pipelines, integrating data across platforms, and ensuring data integrity standards.
Metabase is looking for an Analytics Engineer to support their team. The role involves refining data, building models, answering questions, collaborating with different teams, and potentially working on data engineering or AI/ML projects. They require strong data science and analysis skills, deep fluency in expressing business processes, extensive experience with SQL, and proficiency in Python coding. A technical degree in CS/CE, Math, Economics, or equivalent is preferred, along with familiarity with Metabase and other Business Intelligence Tools. Experience with B2B SaaS, open source, dimensional modeling, and data engineering is a plus. This is a mid-level position requiring at least 5 years of relevant experience.
As an Analytics Engineer at Loop, you will design, develop, and extend production-quality dbt code, collect business requirements, support data analysts and scientists, collaborate on data pipelines, and support the implementation of analytics layers.
Featured Jobs
Design and develop robust and scalable data models for analytical stakeholders. Implement best practices around Data Governance, Data Quality, and pipeline optimization. Lead efforts to build curated data sets for reporting and analytics. Collaborate with data engineers and platform teams to create analytics pipelines. Train users on BI tools and dashboards. Partner with analytics squads on the analytics roadmap.
As a Senior Analytics Engineer at Netflix, you will analyze data to understand member behavior and needs in different regions, provide insights to senior leadership, and develop data products for strategic decision-making. You will excel in data analytics, storytelling, and communication with stakeholders.
Build and refine data assets and products, extend data platform capabilities, build data pipelines, work cross-functionally with teams, and ensure data quality and accuracy for a MedTech company.
Join Calendly as an Analytics Engineer II to develop and maintain enterprise data models, work on data transformations, optimize data models, and contribute to the growth of the Analytics Engineering team. Strong analytical SQL skills and experience with data modeling are required.
The Democratic National Committee's Tech team is seeking a Senior Analytics Engineer to clean, repackage, and build pipelines around data to help Democrats win elections and empower progressives across the country. The role involves enhancing and expanding data products, ensuring data excellence and reliability, and developing election-critical datasets.
Cars Commerce is seeking an Analytics Engineer III to work on building scalable and performant platforms for data-driven products. The role involves collaboration with software engineering, data engineering, and analytics teams to enable informed product decisions and improve marketing efficiencies. Responsibilities include data integration, governance, and architecture ownership within the consumer data platform.
The Data Analytics Engineer at Colibri will be responsible for building trusted data ingestion pipelines, implementing data mapping and transformation, and contributing to the data engineering team's standards and best practices. The role involves collaborating with cross-functional teams, staying updated on industry trends, and maintaining effective communication with stakeholders.
The Democratic National Committee's Tech team is hiring Analytics Engineers to clean, repackage, and build pipelines around data to help Democrats win elections and empower progressives across the country. Responsibilities include supporting data excellence, contributing to election-critical datasets, and empowering users with ongoing development and support.
Seeking a passionate data enthusiast to solve data analytics and engineering problems for Marketing, Sales, Product, and Engineering organizations. Responsibilities include proactively identifying data-related issues, building and maintaining analytics models, collaborating on analytics reporting, and providing insights into performance using large data sets.
Seeking a passionate data enthusiast to solve data analytics and engineering problems for various departments. Building and maintaining a highly-performant data engineering stack to drive insights and impact the business.
As an Analytics Engineer at LaunchDarkly, you will develop data-driven solutions to critical business problems, provide creative technical solutions to improve business results, and enable self-serving requests using data sets. You will work with stakeholders to translate analyses into clear visuals and documentation, and improve technical infrastructure.
Join Instacart's Core Data Engineering team to work on critical data integration pipelines and models across all products, creating uniform, reliable, and accurate insights for customers and partners.
As a Senior BI Engineer at Cash App, you will work with Analysts, Data Scientists, Software Engineers, and Product Managers to lay the foundation for analyzing a large dataset, create and optimize data models for the Customer Support organization, build frameworks for scalability, mentor team members, and promote data best practices.
Design and optimize data infrastructure, create reliable data pipelines, implement data governance, and build data models for self-serve analytics. Collaborate with product and engineering teams to support various data needs.
Partner with Product Managers and engineering teams to track and analyze data product initiatives, work with large datasets, design SQL models, act as a product owner of the Business Glossary Platform, and deliver data-driven insights to different audiences.
Lead Data Engineer role at Bounteous focusing on Google Marketing Platform. Responsible for data engineering projects, client consulting, and solutioning. Requires expertise in data analytics, Google Cloud, and marketing platforms.
Lead Data Engineer at Disney Entertainment & ESPN Technology responsible for overseeing and mentoring engineers, designing and delivering secure data solutions, conducting research, and contributing to the entire data solution lifecycle. Must have 7+ years of experience in Java, Python, SQL, and cloud services.
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