Top Senior Level Analytics Jobs in Philadelphia, PA

The Senior Associate in Risk Management - Data Management will oversee data quality management for compliance and operational risk, manage stakeholder relationships, guide data-related projects, and uphold risk management standards across the organization.

The Sr. Data Expert will lead analytics processes using complex tools to develop optimized analytical solutions for AML operations. Responsibilities include overseeing data assets, ensuring compliance with governance standards, and analyzing results to advise management. Strong communication skills and a background in KYC and data quality management are critical.

The Senior User Experience and Analytics Lead will design user experiences for Risk Ripple Analytics. Responsibilities include producing wireframes, optimizing user experiences, analyzing engagement metrics, and applying design thinking to enhance the product. The role involves collaboration with stakeholders and engineering, as well as conducting user research to inform design improvements.

The Analyst Relations Manager will develop relationships with key analysts like Gartner and Forrester, drive engagement and strategy for CrowdStrike's products, manage analyst evaluations, and support product launches and sales with analyst insights and materials. They will ensure consistent messaging and gather internal insights to inform product positioning.

The Senior Analyst, Pricing & Product is responsible for conducting competitive analysis, researching market pricing, establishing metrics for new product lines, and monitoring market competitiveness to ensure profitability. This role involves collaborating with various teams, utilizing data analytics, and supporting ongoing commercial auto product development processes.

The Solutions Architect role involves engaging with clients to understand their Data & Analytics needs, creating tailored proposals, and ensuring successful delivery of solutions. Responsibilities include client support, design documentation, sales planning, and developing partner relationships, along with contributing to intellectual property.

The Data Modeler will collaborate with technology and product teams to design and maintain data models for the enterprise data warehouse. Responsibilities include leading design discussions, managing data quality, guiding product teams in data model creation, and ensuring adherence to standards while facilitating stakeholder discussions.