We are looking for a passionate Senior Analytics Engineer to help us bring our data platform to the next level. This includes modelling our data for final consumption and leading the design of a new semantic layer for Voicemod. You will collaborate with engineers, product teams and analysts to develop data products that are precise and insightful, and own the data product lifecycle.
The Population Health Analytics team is seeking a Data Engineer to help build an in house application to modernize and centralize Analytics efforts at Privia Health. The Value Based Care (VBC) Data Engineer will work with the Analytics Engineering Director to design, test and implement high quality infrastructure supporting the needs of a diverse group of healthcare analysts, clinicians and stakeholders.
You will design, implement, and track the risk prevention policies at the center of our risk detection and mitigation strategy. You will work with policy and operations experts to understand the details of what’s working well and where we have opportunities to fill gaps. You will drive analytical efforts to source data from Eventbrite’s wide variety of product features, and then leverage it to design effective, low friction policies.
As a Data Analytics Manager at an early stage and high-growth company, you’ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. This is a hands-on leadership role for someone excited to define and execute a modern data strategy in a high-growth environment.
As a Data Engineer on the Insights team, you’ll be central to designing and building the data pipelines, services, and infrastructure that power our product’s AI-driven insights. You will work at the intersection of product engineering, analytics, and AI. This role is ideal for someone who loves working with structured and unstructured data.
Partner with Finance and Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions. Build a forecasting platform that can be used across Mercury.
Design, implement, and optimize data pipelines using DBT, Snowflake, and Python. You will own and manage cloud infrastructure components in AWS for scalable data workflows. Also, you'll collaborate across functions to ensure reliable and efficient deployment of ML models and data systems, and participate in architecture decisions and continuous improvement of our data stack.
This role involves shaping the design, building, and evaluation of new insurance products by turning complex data into actionable insights, collaborating with Product, Insurance, Engineering, and Leadership teams to drive experimentation, supporting product development, and designing reporting structures from the ground up.
Modernize the Data Warehouse and build Analytical Data Store, while also maintaining the existing legacy Data warehouses. Design, develop, and implement scalable batch/real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake and implement data model changes that align with warehouse dimensional modeling standards.