As an analytics engineer you will be responsible for both implementing new analytics infrastructure and making improvements to our existing systems. You will ensure delivery of solutions on-schedule following modern best practices, using DBT, continuous integration, linting and testing. This position requires you to deliver clean, maintainable, and extensible code and interface with operators to understand their needs.
Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.
This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.
Design and optimize secure, scalable data pipelines and cloud data warehouse solutions. It’s ideal for someone who thrives in fast-moving environments, values clean architecture, and collaborates well across both technical and non-technical teams.
We are looking for a technically skilled and data-savvy analyst with a passion for building scalable pipelines and uncovering insights from distributed data sources. This role blends data analysis with infrastructure expertise—ideal for someone comfortable working hands-on with cloud technologies, wrangling raw data into clean, reliable structures, and helping shape a robust Azure-based data ecosystem. This is a contract to hire role that can be remote but must provide occasional onsite support.
You will be a critical leader responsible for translating business goals into a technical vision and execution strategy for your domain leading the BI Growth Zone dedicated to creating insights that fuel all aspects of Aledade's growth. In this role, you will guide a team of BI professionals in building complex datasets, insightful data visualizations, and compelling data-driven narratives.
The Epic Data Analyst is responsible for the intake, management, and delivery of Epic related reporting requests for a designated affiliate customer, serving as the main point of contact for the customer, as well as the conduit between other members of the CHN Business Intelligence Team. Extract, analyze, and interpret data from Epic to support system navigation operations, quality improvement, and identify reporting gaps. Complete data requests using the appropriate reporting tools.
The Senior Data Analyst will take ownership of business intelligence and analytics initiatives. This person will play a critical part in shaping the data culture of our company by defining core business metrics to enabling stakeholder insights through visualizations and deep-dive analyses. This person will work with stakeholders across the company, as well as the executive leadership team, to deliver highly visible analyses.
Develop and maintain the Rackspace business intelligence framework. Lead the design and development of the Business Intelligence architecture and continually refine the BI strategy to align with corporate direction. Serve as the subject matter expert in extraction of information from EFD, Star and Snowflake schemas. Build operational and ad-hoc reports and executive dashboards.