Top Senior Level Analytics Jobs

The Senior Valuation Analyst will conduct valuations for portfolio processes, review complex private credit and securitized products, assist with valuation coordination, perform market research and analysis, prepare valuation reports, and recommend efficiency improvements.

The Associate Director, Process Analytics will serve as an analytical expert within the Conjugation team, providing leadership in analytical method development, validation, and optimization for biopharmaceutical processes. Responsibilities include reviewing QC methods, analyzing manufacturing data, authoring regulatory filings, and coordinating in-process testing to ensure methods meet process requirements.

The Fraud Analyst role involves monitoring operational controls to prevent cyber-attacks, managing security systems, identifying emerging threats, and leading incident management efforts. The analyst must maintain high standards, guide team members, and ensure compliance with policies.

The Senior Manager, Fraud Risk Data Science will lead the Fraud Risk Data Innovation team, managing data scientists and collaborating on data science projects related to fraud detection and transaction risk. Responsibilities include ownership of predictive modeling projects, designing experiments, and communicating results across teams.

As a Data Lead at Lumos, you will enhance data-driven decision-making by developing data infrastructure, creating actionable dashboards, and collaborating with product teams to define key performance indicators. You'll enable customer success teams with data insights and manage operational reporting to drive performance.

The Solutions Analyst II will manage and coordinate integration and technical projects with third-party vendors, ensuring efficient execution of interfaces, leading process improvements, and collaborating with various stakeholders. The role requires strong leadership and technical skills, including basic SQL knowledge, and responsibilities include documentation, vendor relationship management, and expertise development in third-party applications.

As a Senior Manager of Data Visualization Engineering, you will lead a team focusing on building and maintaining data visualization solutions, ensuring data integrity and security, and guiding the team towards innovative practices in data visualization. You will manage projects and collaborate with teams across the company to align data needs with overall business objectives.