Compliance Data Analyst

pliance Platform.

• Perform advanced data analysis using visualization, statistical, and artificial intelligence techniques to develop insights into trends, risks, and opportunities.

• Employ innovative solutions to enterprise-wide challenges in data, systems, controls, and risk management activities including anomaly detection, clustering, machine learning, natural language processing, GenAI, and other predictive and prescriptive models.

• Develop solutions that provide actionable insights using behavioral analytics to identify signals of corporate misconduct across compliance domains.

• Drive ethical AI principles in both small-scale pilots and enterprise-wide long-term solutions.

• Build and maintain dashboards, reports, and analytical models to support compliance initiatives.

Stakeholder Collaboration

• Partner with compliance and business stakeholders to define and prioritize analytics use cases.

• Translate functional requirements into technical specifications for independent development and collaboration with digital technology delivery teams.

• Collaborate with digital technology teams to scope, build, test, and launch analytics and AI solutions.

• Support the management of a portfolio of analytics solutions that are user-friendly, self-service, scalable, and aligned with governance standards.

• Continuously improve data quality, usability, accessibility, and adoption of compliance data assets and analytics.

• Support the elevation of the Compliance function through actionable analytics to be a strategic partner with the business while driving growth.

Qualifications:

Required:

• Bachelor's degree in Data Science, Information Systems, Business Analytics, or a related field. An advanced degree is preferred. For candidates in Europe, equivalent knowledge or experience will be considered.

• Strong experience in data analytics, business intelligence, or data science in a complex, global environment

• Proficiency in Power BI (or similar BI tools), SQL, and data wrangling techniques

• Experience in data science methodologies such as supervised and unsupervised machine learning (e.g., classification/regression, clustering, anomaly detection), network/graph analysis, time-series forecasting, natural language processing, GenAI, statistics, Monte Carlo simulations, etc.

• Strong communication skills with ability to gather requirements and present findings clearly

• Ability to work independently on hands-on development and collaboratively across teams

• Full English proficiency.

Preferred:

• Familiarity with enterprise data systems (HR, CRM, Sourcing, etc.)

• Experience working within compliance, risk, audit, or similar functions

Desired Characteristics:

• Technically proficient and able to communicate to non-technical audiences

• Ability to deliver in a fast-moving environment with evolving priorities

• Ability to independently develop solutions and manage cross-team projects through influence

• Motivated by building scalable, lasting capabilities in addition to one-off reports

• Pragmatic, action-oriented problem solver

• Strong analytical, interpersonal skills with orientation toward process improvement

• Solid judgment, clear thinker and business sense

• Ability to create an environment of continual learning, and to change the way the compliance is working to be simpler and more adaptive.

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position