Compliance Data Analyst

hace 7 días

Querétaro, México GE Vernova A tiempo completo

**Key Responsibilities**:
**Digital Compliance 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. Advanced degree preferred.
- Minimum of 3 years of 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

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