HP Inc.

Makes computers and printers for work and home

Data Analyst - Assurance & Continuous Monitoring

Business IntelligenceConfirmed live in the last 24 hours

Full-timeTlaquepaque, Jalisco, MexicoNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related quantitative field is recommended.
At least 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.
Ability to translate business requirements into scalable analytics solutions and actionable insights.
Strong stakeholder management skills and experience partnering across business, technical, and operational teams.
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.
Ability to identify patterns, anomalies, and emerging risks from large datasets.
Ability to translate data into actionable business insights and recommendations.
Ability to perform root-cause analysis and problem resolution.
Ability to design metrics, key performance indicators, key risk indicators, and monitoring indicators.
Ability to evaluate data quality and assess the reliability of data sources.
Ability to translate business requirements into analytical and technical solutions.
Ability to communicate complex analytical findings to technical and non-technical audiences.
Ability to collaborate with business, operational, technology, and assurance stakeholders.
Ability to influence decision-making through data-driven insights.
Ability to manage multiple priorities and projects in a fast-paced environment.
Ability to drive adoption of analytics and data-driven practices.
Ability to solve problems and think critically.

Responsibilities

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.
Design and maintain analytics-driven monitoring of key Trade Compliance controls.
Develop dashboards, key performance indicators, key risk indicators, and key control indicators to measure control effectiveness and compliance performance.
Identify control exceptions, recurring issues, and opportunities to strengthen the internal control environment.
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.
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.
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.
Mentor others and promote data literacy across the organization.
Develop data-driven monitoring, reporting, and automation solutions that improve error detection, control performance visibility, risk identification, and continuous improvement of the Internal Control Program.
Leverage enterprise data sources, including FDL, to enable scalable monitoring and actionable insights across global Trade Compliance operations.

Desired Qualifications

Experience supporting Internal Audit, Assurance, Risk Management, Compliance, or Governance organizations.
Familiarity with continuous monitoring, internal controls, control testing, or risk analytics.
Experience analyzing enterprise resource planning 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.
Trade Compliance analytics experience.
Internal controls monitoring and control effectiveness testing experience.
Risk analytics and continuous monitoring experience.
SAP S/4HANA, enterprise resource planning data analysis, and enterprise data ecosystems experience.
Experience supporting assurance, audit, compliance, or governance programs.

Data Analyst – Assurance & Continuous Monitoring

Description -

Job Summary
•The Data Analyst – Trade Compliance Assurance serves as the analytics and data enablement lead for the Trade Compliance Assurance function. This role is responsible for leveraging enterprise data, analytics, automation, and reporting capabilities to strengthen the effectiveness of the Trade Compliance Internal Control Program, enhance risk visibility, and support continuous monitoring initiatives.

The role will play a key part in advancing the Trade Compliance Assurance program from traditional periodic assessments to a more data-driven, continuous-monitoring approach by increasing the use of analytics, automation, and risk intelligence across the organization. This includes supporting the design and enhancement of monitoring mechanisms that provide insight into control performance, identify recurring errors and trends, and drive continuous improvement of the Trade Compliance control environment.

Responsibilities

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.

Education & Experience Recommended

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.

Preferred Experience (Nice to Have)

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.

Knowledge & Skills

echnical Skills

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.

Analytical Skills

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.

Business & Communication Skills

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.

Leadership & Professional Skills

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.

Nice-to-Have Skills

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.

Impact & Scope
• Provides analytics leadership for the Trade Compliance Assurance function by developing data-driven monitoring, reporting, and automation solutions that improve error detection, control performance visibility, risk identification, and continuous improvement of the Internal Control Program. Leverages enterprise data sources, including FDL, to enable scalable monitoring and actionable insights across global Trade Compliance operations.

Complexity
• Operates in a highly complex environment involving large, diverse, and interconnected datasets across multiple enterprise systems and data sources. The role requires the ability to understand business processes, data structures, internal controls, and reporting requirements; integrate data from various platforms, including FDL; and translate complex business challenges into scalable analytics, monitoring, and automation solutions. Success requires balancing technical expertise, analytical problem-solving, and stakeholder engagement to drive improvements in control effectiveness, risk visibility, and continuous monitoring capabilities.

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Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Legal

Schedule -

Full time

Shift -

No shift premium (Mexico)

Travel -

Not Specified

Relocation -

Equal Opportunity Employer (EEO) -

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’sEEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

About the Company

HP Inc.

Makes computers and printers for work and home

HP designs personal computers, printers and related supplies for households, businesses and public institutions, with products for everyday work and professional computing. Its Z workstations support demanding technical tasks, while its commercial printing systems serve offices, print shops and industrial manufacturers. It sells devices and replacement supplies directly and through partners, and earns service revenue from software, support and managed computer and printer fleets. Founded as a partnership in 1939, the company is headquartered in Palo Alto, California, and retained the PC and printing businesses after separating Hewlett Packard Enterprise in 2015.

Company size: 10,001+
Company stage: IPO
Headquarters: Palo Alto, CA
Founded: 1939

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