Top Data & Analytics Jobs

The Staff Data Scientist will drive data-informed monetization strategies across subscriptions, advertising, and virtual currencies, collaborating with product and engineering teams and defining success metrics.

Lead the development of a Data Quality Center of Excellence, focusing on metrics, frameworks, and collaboration with stakeholders in healthcare and data ownership.

The Senior Data Engineer will work with data tuning, big data technologies, and coordinate with technical teams and business users.

Lead master data management governance, define standards and mappings, approve data changes, audit mappings, manage a team of mapping specialists, collaborate with stakeholders, and drive MDM project delivery and training.

The Quantitative Analyst will conduct quantitative research and statistical analysis, lead survey designs, and utilize data tools to inform business decisions, while collaborating with cross-functional teams.

Lead rebate analytics strategy and operations for trade analytics, manage analysts, build SQL queries and forecasting models, drive process improvements, support client reporting and rebate allocations, and represent the group to senior management and clients.

The Director, Institutional Growth will develop partnerships with financial institutions, drive product adoption, and facilitate growth for tokenized assets on Solana.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Lead analytics engineering by building and optimizing scalable data pipelines, transformations (dbt), and data models on cloud warehouses. Deliver performant, cost-effective pipelines, dashboards, and AI-assisted tooling while collaborating cross-functionally to enable self-serve analytics.