Top Analytics Engineer Jobs

Lead the design and implementation of AI and analytics solutions, managing cross-functional teams and ensuring alignment with technical standards and enterprise objectives.

You will provide expertise in multi-asset class risk analytics, support sales efforts by demoing products, and enhance solutions based on client feedback.

The Junior Analytics Engineer will support data model development, automate data pipelines, and collaborate with stakeholders for data initiatives.

The Analytics Engineer will develop data pipelines, optimize data models, create dashboards in BI tools, and collaborate with stakeholders for data-driven insights.

The Data Engineer will design and implement data pipelines, optimize data models, and collaborate with teams on data needs and analytics solutions.

This role involves using SQL, Python, and BI tools like Power BI and Tableau to analyze data, automate processes, and develop solutions for clients. Strong communication skills are essential for presenting technical solutions to varied audiences. An active Secret clearance is required.

As an Analytics Product Engineer, you will lead product strategy for data products, design scalable data models, and develop transformation pipelines while collaborating with stakeholders and improving analytics capabilities.

The Lead Analytics Engineer will build a canonical data foundation for decision-making at Kit, enable self-service data exploration for stakeholders, and modernize the analytics process across departments.

Lead the analytics vision for unified revenue measurement across Netflix Ads, driving frameworks for quantifying and reporting on revenue streams, while building scalable data models and dashboards in partnership with Data Engineering.

The Engineer develops automated ETL pipelines, analyzes datasets, implements ML models, and collaborates on KPIs for simulation testing.

As a Senior Analytics Engineer, you'll design data models, optimize SQL queries, implement data quality checks, and mentor junior members to support analytics initiatives.

Develop and maintain financial modeling applications, collaborate with finance teams, test software, and implement best practices in development workflows.

Develop and maintain financial modeling applications, collaborate with teams to refine software, and ensure applications meet business needs.

The role involves leading the assortment data platform strategy, building analytic capabilities, implementing AI solutions, and mentoring team members in data principles.

The Senior Data Engineer will design and implement data pipelines, ensure data quality, and collaborate with stakeholders to advance data initiatives.

The Senior Data Engineer will design, implement, and maintain the bank's data platform, develop data pipelines, ensure data quality, and collaborate across teams to enhance enterprise data initiatives.

Responsible for managing the company website and marketing technology, ensuring technical stability and analytics tracking, supporting campaign performance, and optimizing digital experiences.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The Senior Analytics Engineer will create and manage scalable data models, partner with teams, and ensure data quality while mentoring others.

Develop and maintain analytics for federal HCM modernization using Oracle tools. Design dashboards, reports, and data models while ensuring compliance with Section 508 standards.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Advanced Analytics Principal Engineer will lead the design and delivery of analytics solutions, applying advanced statistics and machine learning to support decision-making in the Innovative Medicine organization. Responsibilities include developing analytics applications, collaborating with cross-functional teams, mentoring colleagues, and utilizing emerging analytic technologies.

The Senior MLOps Engineer will enhance and maintain centralized AI platforms, ensuring high availability, integrating advanced AI tools, and automating processes. The role emphasizes collaborative problem-solving and requires extensive experience in cloud environments and machine learning model management.