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Senior Analytics Engineer building scalable dbt data models on BigQuery to power analytics across commercial, marketing, and clinical domains at a digital health platform.
Automates emissions data pipelines to deliver scalable decarbonization insights for industrial customers, bridging emissions science and data engineering.
Leads data pipeline teams for BI, analytics, fraud detection, and reporting; defines technical strategy, mentors engineers, and ensures platform reliability and cost optimization.
Senior Analytics Engineer designing and scaling analytics platforms using dbt for data modeling, SQL-heavy workloads on Snowflake/Redshift, and BI tools like Domo/Tableau/Power BI in a modern cloud stack.
Build and optimize Power BI environments for a global sportswear brand, focusing on SQL Server data, ETL pipelines, and scalable BI models.
Senior Data Engineering Manager leading data teams and building cloud data pipelines across AWS, Azure, and GCP to drive digital transformation for clients.
Build scalable market risk analytics workflows, ETL processes, and regulatory reporting solutions using Python, SQL, and BI tools at Goldman Sachs in Birmingham.
The Analytics Engineer will build and maintain dbt models to establish robust data foundations, collaborating with data teams to drive insights and improve data governance. The role involves advising on data platform infrastructure and tooling to support high-growth business areas.
The Data & Analytics Engineer will manage data lifecycle processes, build ETL pipelines, design scalable databases, and create dashboards for self-service insights. The role involves collaborating on AI applications and maintaining data quality and security standards within the IT department.
The Senior Visual Analytics Engineer will design and deliver BI dashboards and analytics solutions by translating business requirements into technical specifications. The role involves data modeling, warehouse development, and cloud-based analytics using tools like Tableau and Power BI.
The Senior Analytics Engineer will develop analytics layers and maintain complex data models within the data warehouse to support scalable data products. The role involves using SQL, dbt, and cloud services to collaborate with cross-functional teams in a remote-enabled environment.
The Analytics Engineer will develop and maintain scalable data solutions using the Microsoft Fabric platform to provide actionable business insights. The role involves leveraging AI-enabled development tools to enhance data productivity and ecosystem impact.
The Senior Analytics Engineer will build and maintain a scalable analytics layer using dbt and BigQuery. The role involves collaborating with cross-functional teams to develop data models, ensure data quality, and create datasets for experimentation.
This role involves leading a global analytics team at JPMorgan Chase to design and build high-performance, scalable data engineering solutions for electronic trading. The engineer will utilize Python, C++, or KDB/Q and integrate AI technologies to automate workflows and enhance real-time market data analytics.
The Market Risk Analytics Engineer will develop and deliver risk and capital metrics for market, credit, and regulatory domains using Python and SQL. This role supports senior leadership and regulators by providing data-driven risk insights within the Risk Engineering team.
The Market Risk Analytics Engineer will build data workflows and develop business intelligence solutions to provide risk metrics and insights. The role utilizes Python, SQL, and BI tools like Tableau or PowerBI to support risk decision-making processes.
The Exposure Data Analyst will develop data pipelines, build dashboards, and provide portfolio insights for catastrophe risk management using Python, SQL, and geospatial analytics tools.
The Market Risk Analytics Engineer will deliver market risk metrics and insights, focusing on regulatory reporting and risk transparency. The role involves building scalable workflows, ensuring data quality, and collaborating with cross-functional teams to support risk governance.
The Security Analytics Engineer designs and manages data pipelines and Snowflake models to support security analytics and AI-ready reporting. The role focuses on data reliability, governance, and CI/CD processes within a global gaming environment.
Develops and maintains production risk analytics, risk-owned datasets, and PowerBI dashboards to support governance, CRO reporting, and regulatory obligations at an asset manager/insurer.
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