465 results
FiltersResponsible for analytic data needs of the business unit. Handle complex data projects and act as a lead for other Data Analysts. Provide advanced analytical support for business operations in all or some of the following areas: claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting. Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources.
As a Business Intelligence (BI) Data Engineer, you will act as the bridge between our complex data and our business domains. You will be responsible for empowering teams with accurate, reliable, and insightful analytical datasets that drive critical business decisions. This is an exciting opportunity for a proactive individual who is eager to work with a modern data stack.
Earning trust with prospects and customers by quantifying value with clear, data-backed business cases. The Solution Analytics team turns pilot datasets into rigorous retrospectives and ROI narratives that inform partner decisions and accelerate adoption. We support existing partners with analyses. We’re looking for an analyst who blends business acumen with analytical rigor. Success means owning the end-to-end analytics workflow.
Provides data conversion, business intelligence, and analytics services to Zuri Group’s clients, blending technical execution with consultative client engagement. You’ll work directly with clients to map and convert fundraising data from a variety of legacy systems into modern fundraising databases. Projects involve advising clients on software functionality and business process improvement.
As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers entire advertising business. Mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power advertiser-facing reporting and enable future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting.
We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains. You’ll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.
The data team turns raw on-chain activity into trustworthy and reusable datasets, and you will sit at the intersection of protocol mechanics, SQL modeling, and transformation tooling. You will work closely with data engineers and product managers to standardize how key on-chain concepts are represented across chains and protocols, so analysts and developers can build reliably on top of them.
Tackle diverse projects for clients ranging from local businesses to the Fortune 500. Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse. Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
In this role, you’ll design and implement data-intensive solutions that power a truly data-driven organization. As a Data Engineer, you’ll build data products aligned with Data Mesh vision and target architecture. Turning data into impact is key. You will design, build, and maintain efficient and reliable data pipelines and develop and optimize data models for analytics and reporting.
As a Senior Developer, you will be experienced in working with big data ingestion and large data sets in general. You will be responsible for creating and maintaining high-quality ETLs. This is an exciting opportunity to build a new greenfield solution, working as part of a small team, to help the business improve their market-making capabilities within the fixed income space. The platform itself is housed within the AWS ecosystem.