Top Hybrid Senior Level Data & Analytics Jobs

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 Performance & Analytics Manager leads the strategy, development, and execution of data systems and analytics to drive operational and financial excellence in renewable energy projects.

Lead product analytics initiatives to optimize product adoption and revenue growth while serving as a trusted thought partner to senior leaders.

The Senior Analytics Engineer at SpotHero will bridge Data Engineering and Data Analysts, focusing on data modeling, ETL development, and deriving business insights while collaborating with stakeholders.

The role involves leading the IT compliance and CSV/CSA framework, ensuring regulatory compliance, managing audits and inspections, overseeing validation activities, and partnering with various stakeholders.

The Director of Data Quality and MDM Operations ensures trusted data across the enterprise through effective data quality and master data strategies, leading a team and collaborating with stakeholders to implement and improve data processes.

The Senior Analyst will manage reporting and dashboards for client accounts, using SQL and BI tools. They will ensure data integrity, engage with clients, and analyze media data for actionable insights.

The Senior Analyst of People Analytics will manage Visier platform, support data pipelines, validate data accuracy, and develop self-service dashboards ensuring analytical integrity across employee lifecycle processes.

The Biostatistician/Manager of Statistical Training will manage and provide statistical support for clinical trials, supervise junior staff, and collaborate on research projects, focusing on data analysis, program design, and report writing.

The Sr. Statistical Reporting Analyst ensures compliance in statistical reporting, maintaining data integrity, analyzing discrepancies, supporting audits, and improving processes within finance reporting.