6d ago

Data Analyst – Assurance & Continuous Monitoring

Mexico·Tlaquepaquemid

Data AnalystData

0 views0 saves0 applied

Apply Now

Quick Summary

Technical Tools

Data AnalystData

Data Analyst – Assurance & Continuous Monitoring

Responsibilities

~1 min read

Data Analytics & Insights

→
Analyze operational data to identify errors, anomalies, trends, and emerging risks, and develop analytical models and exception reporting that enable proactive issue detection, root cause analysis, and continuous improvement of trade-related internal controls.
→
Deliver actionable insights that support risk-based decision-making and continuous improvement.

Continuous Monitoring & Internal Controls

→Design and maintain analytics-driven monitoring of key Trade Compliance controls.
→Develop dashboards, KPIs, KRIs, and key control indicators (KCIs) to measure control effectiveness and compliance performance.
→Identify control exceptions, recurring issues, and opportunities to strengthen the internal control environment.

Data Management & Reporting

→Leverage enterprise data sources, including FDL, to create scalable reporting and monitoring solutions.
→Apply data modeling, database, and data quality principles to ensure reliable and accurate analytics.
→Develop and maintain dashboards, scorecards, and management reporting.

Automation & Process Improvement

→Automate reporting, monitoring, and exception detection processes to increase efficiency and coverage.
→Implement analytics and workflow solutions that reduce manual effort and improve data-driven oversight.

Stakeholder Collaboration

→Partner with Assurance, control owners, business teams, and IT to deliver analytical solutions.
→Translate business requirements into data-driven insights and technical solutions.
→Promote adoption of analytics and continuous monitoring practices across the Trade Compliance organization.

Legal

Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related quantitative field.
8+ years of experience in data analytics, business intelligence, reporting, data management, or related analytical functions.
Experience working with enterprise data platforms, data warehouses, and large-scale transactional datasets.
Strong experience leveraging FDL and other enterprise data repositories to develop reporting, monitoring, and analytical solutions.
Demonstrated understanding of database structures, relational database concepts, data modeling, data architecture, and data governance principles.
Experience developing dashboards, scorecards, and visualization solutions using Power BI, Tableau, or similar tools.
Experience writing and optimizing SQL queries and working with complex data relationships across multiple systems.
Experience implementing data quality controls, data validation, reconciliation, and data integrity checks.
Experience automating reporting, monitoring, or business processes using Power Automate, Python, or similar technologies.
Proven ability to translate business requirements into scalable analytics solutions and actionable insights.
Strong stakeholder management skills with experience partnering across business, technical, and operational teams.

Nice to Have

~1 min read

Experience supporting Internal Audit, Assurance, Risk Management, Compliance, or Governance organizations.
Familiarity with continuous monitoring, internal controls, control testing, or risk analytics.
Experience analyzing ERP data, including SAP S/4HANA or similar enterprise systems.
Knowledge of Trade Compliance, Customs, Export Controls, or other regulatory environments.
Experience developing exception-based monitoring, anomaly detection, or risk intelligence solutions.

Advanced SQL querying and data extraction.
Data modeling and analytical dataset development.
Dashboard and visualization development using Power BI, Tableau, or similar tools.
Data analysis of large and complex datasets.
Database analysis and interpretation of relational data structures.
Data validation, reconciliation, and quality analysis.
Process automation using Power Automate, Python, or similar technologies.
Development of monitoring, exception reporting, and performance measurement solutions.

Identify patterns, anomalies, and emerging risks from large datasets.
Translate data into actionable business insights and recommendations.
Perform root-cause analysis and problem resolution.
Design metrics, KPIs, KRIs, and monitoring indicators.
Evaluate data quality and assess the reliability of data sources.

Translate business requirements into analytical and technical solutions.
Communicate complex analytical findings to technical and non-technical audiences.
Collaborate effectively with business, operational, technology, and assurance stakeholders.
Influence decision-making through data-driven insights.
Manage multiple priorities and projects in a fast-paced environment.

Strong stakeholder management and relationship-building capabilities.
Continuous improvement and innovation mindset.
Ability to drive adoption of analytics and data-driven practices.
Self-starter with strong problem-solving and critical-thinking abilities.
Capability to mentor others and promote data literacy across the organization.

Trade Compliance analytics.
Internal controls monitoring and control effectiveness testing.
Risk analytics and continuous monitoring.
SAP S/4HANA, ERP data analysis, and enterprise data ecosystems.
Experience supporting assurance, audit, compliance, or governance programs.

Full time

No shift premium (Mexico)

Not Specified

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"