Join the Operations Department as a Data Analyst, bridging the gap for non-technical teams to gain deeper insights into our members. You'll own metrics, reporting, and data visualization tools, working with stakeholders to design reports and dashboards that tell a story. Quickly turn business questions into scalable data visualizations and improve data integrity with attention to detail.
You will be a subject matter expert on the Kraken data model across your regions as well as the application as a whole. You will lead on developing key reporting and metrics focused around industry communications and processes. Industry is at the beating heart of the business for Kraken's clients, with hundreds of thousands of messages and processes occurring every day.
Drive the development of a modern IAM Data Fabric and support critical initiatives like JML modernization, access certification automation, and application onboarding. Work with GCP, Azure, SailPoint, CyberArk, Active Directory, and Entra ID, collaborating with top-tier IAM architects and engineers. The team values documentation, transparency, and continuous improvement.
Record 7 short videos in different outfits and complete a quick questionnaire. Each video is 15–30 seconds long and includes simple actions like turning or walking toward the camera. Participants must be 18 or older, reside in the United Kingdom, own a smartphone with a front camera, have a stable internet connection, and be comfortable filming in varied outfits, including one in fitted/skin-tight clothing. Consent to submit basic camera metadata with your videos.
The Senior Manager, Data & AI Product Management is responsible for the development, maintenance, and communication of the Data & AI Product Roadmap for the Data Intelligence department. They maintain continuity between all parts of the Data Intelligence department, as well as maintain a mutual understanding of priorities with key partners and stakeholders across the organization. This role serves as an expert in Data, Analytics, and Artificial Intelligence best practices.
The Mid-Level App Data Developer designs, develops, and maintains domain-specific databases and backend data solutions, ensuring high performance, scalability, and data integrity in support of business-critical applications. You’ll work closely with engineering, analytics, and operations teams to align on data strategy and support application performance through optimized database design and queries.
This position supports the Readiness & Employment System contract, working towards creating training data. The Data Analyst develops, creates, transforms, and models data. Provides support on system data and business rules to support creation of new or enhanced information. Performs data validation to assure data quality within new and enhanced databases.
The Data Analytics and AI position involves business intelligence and analytics solutions, meeting needs from basic data integration and business analytics to AI and machine learning tools including data science platform design, big data architecture and data visualization. The role also includes using statistical modeling, robotic process automation (RPA) and algorithm development in Machine learning (ML) and natural language processing (NLP).
Develop analytical models that directly impact patient outcomes and business performance in our growing value-based care business. Partner with Clinical, Operations, and other teams to understand their challenges, present insights, and iterate on solutions. Balance independent analysis with cross-functional partnerships, connecting your technical work to real-world healthcare impact.
The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products and is directly responsible for leading the statistical programming activities for a compound/indication or therapeutic area in early development. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.