Top Senior Data & Analytics Jobs

The Performance Management Analyst translates complex data into actionable insights, supporting strategic growth through data analysis and visualization for various teams.

Analyze strategic opportunities, support M&A transactions, develop business cases, and manage cross-functional projects for corporate growth.

The Analyst, Program Control will manage financial analysis, program cost/schedule reporting, and ensure effective tracking of program performance and invoicing issues.

Manage leased partner network data integration into I-Network, ensure data quality and delivery for client claims systems and regulatory filing, support SFTP access, create requirements and QA sign-off for projects, produce analytical insights, mentor team members, and assist Business Development/National Accounts and project management.

The Fraud & Risk Lead will manage end-to-end fraud operations for a global credit card program, focusing on monitoring, analysis, and mitigation of fraud risks. Responsibilities include building fraud detection systems, running investigations, and improving operational processes.

The Head of Data will lead EarnIn's data organization, overseeing data engineering, analytics, and machine learning infrastructure while driving data strategy and governance.

Lead data strategy in cryptocurrency trading, developing models and tools for performance analysis and risk modeling, while translating insights for stakeholders.

Lead and build the analytics function across GTM, revenue, and product. Own end-to-end reporting, multi-touch attribution and MMM, product instrumentation, BI infrastructure, and translate data into executive recommendations to drive growth.

Develop systematic trading models, conduct alpha idea generation, backtesting, and enhance trading environments while utilizing advanced quantitative methods.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.