Top Analytics Engineer Jobs

The Analytics Engineer will design and maintain datasets, implement ETL/ELT pipelines, and ensure data accessibility for Data Scientists, while championing reporting best practices.

The Staff Analytics Engineer will lead data projects, ensuring data accessibility and driving impact through analytics engineering while mentoring teams on best practices.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As an Analytics Engineer, you'll transform healthcare data into insights, develop dbt models, manage Looker dashboards, and ensure data quality while supporting cross-team analytics needs.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

The role involves data extraction and transformation for product managers, supporting claims data reporting and systems transformation. Experience in claims systems and software programming is necessary.

The Data Analytics Engineer will architect and maintain data infrastructure, optimize ETL/ELT pipelines, develop dashboards, automate workflows, and collaborate across teams to enhance data usage.

The Lead Data Engineer will onboard customers to the data warehouse, analyze data use cases, and implement improvements using modern cloud-native technologies. Responsibilities include collaborating with various teams, ensuring data quality, and automating processes for efficient analytics and infrastructure designs.

The Analytics Engineer will build scalable analytics solutions, develop metrics for decision-making, and collaborate with various teams to enhance data access and insights.

As a Data Engineer, you will design and build data pipelines, ensuring data accuracy and developing data solutions that meet business requirements.

As a Senior Analytics Engineer, you will design and maintain data models and reporting tools, enhancing efficiency for GTM Strategy & Operations. You will collaborate with teams across IT, Finance, and Marketing, providing insights and addressing complex data challenges, particularly in AI-driven solutions.

The Senior Data Analyst will manage KPI data integrity, ensure data flows support ICFR, mentor team members, and enhance data literacy, while developing analytics tools and delivering training.

The Analytics Engineer will lead data projects, collaborate with teams for insights, manage financial metrics, and ensure reporting compliance.

The role involves partnering with various teams to conduct advanced analytics in finance, manage data pipelines, and produce analytics models while upskilling team members on data techniques.

As an Analytics Engineer at MoonPay, you'll build data models, support finance functions, and collaborate with various teams to track crypto and fiat movements and perform analysis.

The Analytics Engineer develops and maintains data models and pipelines, ensuring data quality for self-service analytics and AI applications. Responsibilities include collaborating with stakeholders, managing security, and optimizing data workflows.

The Analytics Engineer will enhance ad targeting and audience understanding through data exploration, metric tracking, and model support while collaborating with cross-functional teams.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

As a Data/Analytics Engineer VP, you will manage the lifecycle of data assets, ensure data quality, and create dashboards while collaborating with AI and data science teams.

The Data Analytics Manager will leverage data to create innovative solutions, perform data storytelling, manage client relationships, and support sales efforts.

As a GTM Analytics Engineer, you will enhance data infrastructure, build SSOT models, and optimize data pipelines to support analytics and business decisions.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The Analytics Engineer I will develop and maintain data models, build software solutions, support visualization, ensure data quality, and participate in a leadership program focused on financial services and technology.