As a Senior Data Analyst (III), you will play a critical role in driving our business strategy and growth by leveraging data to calculate contribution profit, EBITDA, revenue, and credit consumption. Your work will steer short and long term decisioning, championing a data-driven culture using data to answer business questions and deliver measurable results.

As a Risk Model Analyst on the Payments Risk Analytics team, you’ll be responsible for working cross functionally with our Risk machine learning team to evaluate Risk model performance, identify gaps and recommend solutions to improve model precision and recall and create/optimize features for our risk models to consume. This role will report to the Manager of Payments Risk for NAMER and UK/EU regions.

The Consumer Insights Analyst develops the analytics and data insights for J.D. Power’s customer satisfaction survey research-based business. Primary duties include analysis and interpretation of survey data, writing/developing presentations that provide consumer insights that help clients improve their business.

Lead complex PIM project engagements with a team of talented developers, leads, SME’s, and architects to tackle important problems and resolve complex issues for top companies. Manage Data Management delivery, partner with clients to address challenges and future needs in a distributed environment. Proactively collaborate with co-workers and clients, with occasional on-site travel for workshops.

Build mathematical models of games by writing code to simulate game mechanics, maintain mathematical documentation about games, and process requests from support.

The Competency Lead will lead/grow some of the most complex PIM project engagements, working with a team of talented developers, leads, SME’s, and architects to resolve complex issues. This role requires a combination of technical expertise, business acumen, and client service to be successful, and serve as a partner with clients, working collaboratively to address current challenges and tackle future needs.

Work to understand what features drive a vehicle's price and predict future values. The data science team provides industry-leading, accurate, transparent analytics. Create innovative machine learning processes, deploy them on our AWS server, and develop the tools for monitoring them. Immerse yourself in automotive industry data and collaborate with technology and engineering teams.

The Cross-Reference Analyst leads data-driven projects that focus on improving quality, availability, and governance of cross-reference data records; this role requires collaboration with team members, Sales Teams, and communication with various levels of management.

Responsible for using LLM, ASR and other NLP techniques to automate the annotation of corpora of linguistic fieldwork, including morphological segmentation and interlinear glosses. Create novel combinations of LLM, NLP, and ASR to achieve performance that surpasses the state of the art in morphological segmentation and interlinear glossing. Design and conduct suites of experiments and assist with corpus creation and manipulation.

The IT Director - Business Intelligence is responsible for leading the strategy, design, implementation, and maintenance of the organization’s BI solutions, data warehouse, and analytics framework. This role ensures that the organization leverages data effectively to drive informed decision-making, improve operational efficiency, and achieve business objectives.