Top Senior Level Analytics Jobs

The Analyst IT Strategy & Planning role involves facilitating IT portfolio demand intake and resource management processes, coaching stakeholders, collaborating with investment planning on project records in SAP, and ensuring resource allocation. Additional responsibilities include training on portfolio governance and monitoring project resourcing.

The role involves supporting accounting risks and controls, assisting external and internal audits, maintaining proactive relationships with business teams, and providing SAP business security administrator support. The analyst will also evaluate controls for audits, track audit requests, ensure compliance with accounting policies, and create recommendations for managing risks.

The Security & Controls Analyst IV will provide expertise in accounting risks and controls while supporting SAP security administration. Responsibilities include collaborating with business teams, assisting auditors, evaluating control impact assessments, and ensuring compliance with industry changes and procedures. The role also involves monitoring SAP IT controls and recommending process improvements to manage risks effectively.

The Sr. People Data Analyst role focuses on leveraging data to improve employee engagement and retention. Responsibilities include analyzing people data, developing dashboards and metrics, and collaborating with HR leaders to provide actionable insights. The analyst will also ensure data integrity and use visualization tools to communicate findings effectively.

The Staff Analyst, Model Risk Management will perform critical reviews of quantitative models, engage with model developers, assess data suitability, and provide detailed written reports with recommendations. The role involves validating models from basic regression to machine learning algorithms across various business areas.

Perform critical reviews of quantitative models used at SoFi, assess data suitability, model conceptual soundness, and testing protocols. Summarize findings in detailed reports with recommendations for remediation work. Models range from basic regression to advanced machine learning algorithms across various business areas.

Perform critical reviews of quantitative models, assess data suitability and model soundness, communicate technical concepts, and provide recommendations for model improvements. Work on models ranging from basic regression to advanced machine learning algorithms across various business areas.