Role
Risk & Assurance roles are accountable for identifying, measuring, and mitigating risks to business
processes, operations, and earnings. In this role, the focus is on using data engineering and analytics to
strengthen risk oversight and assurance by building reliable data foundations, producing actionable
insights, enabling transparent reporting, and identifying red flags through structured monitoring.
This is a professional individual contributor role with a strong focus on hands-on data engineering,
analytics delivery, and stakeholder collaboration. The role also supports the continuous improvement of
GRC data, reporting, and monitoring capabilities.
We offer
This role suits someone who thrives in a fast-paced, performance-driven environment and wants to help
strengthen GRC reporting and data foundations. You will work with a diverse team, engage with
stakeholders, and contribute directly to meaningful business outcomes.
The role offers broad exposure, continuous learning, and the opportunity to develop in an open and
collaborative environment
Maersk is a value-led company, and we strive to high ethical and quality standards and want to be trusted
by our customers, partners, society, and our employees.
Maersk Governance, Risk and Control (GRC) ensure an effective and efficient risk-based internal control
framework across Maersk. GRC is based in Finance and drives the overall control framework to ensure a
sound control culture and control environment is in place. We strive to be a best-in-industry GRC function
supporting strategic differentiation and safeguarding our license to operate for the long term.
Our mission is to operationalize GRC framework and regulatory requirements through aligned, effective,
business-friendly controls, processes, solutions and reporting.
The GRC Data Analyst Manager is responsible for delivering data engineering and analytics that support
risk and control performance reporting across the Governance, Risk, and Compliance (GRC) function.
The role builds and maintains data pipelines, reports, and tools that help stakeholders identify red flags,
monitor performance, and make data-driven decisions. It also translates business and reporting needs
into practical analytics solutions while ensuring data is reliable, traceable, and fit for purpose.
Key Responsibilities:
Data Engineering & Pipeline Management:
Ingest, transform, and publish data for GRC reporting on
insights and red flags. Maintain and evolve the reporting catalogue (datasets, dashboards, schedules,
owners).
Analytics & Reporting:
Establish standardized metrics sets to analyze risk, control performance, and
enterprise health prior to business reviews. Deliver ad-hoc analyses and deep-dives; explain trends,
anomalies, and drivers.
Data Quality & Monitoring:
Implement monitoring, alerts, and reconciliation checks for data refreshes
and key metrics. Ensure data quality thresholds for completeness, timeliness, and error-rate targets
are met for priority datasets.
Red-Flag Monitoring & Risk Intelligence:
Develop and maintain a structured red-flag monitoring
framework that systematically identifies entities requiring attention. Support risk and control reporting
with robust data points and traceable evidence. Ensure all GRC-led risk assessments and re-
assessments include data points to support risk rating.
I
nnovation & Proactive Risk Identification:
Integrate insight-tools such as process mining or other AI
tools into ways of working for proactive risk identification. Implement predictive measurements to
forecast performance and proactively raise concerns.
Stakeholder Collaboration:
Partner with stakeholders to translate reporting needs into usable data
products and actionable insights. Ensure dashboards and reports are clear, traceable, and aligned to
GRC reporting needs.
Required Skills/Experience:
Proficiency in SQL and data modeling; ability to build reliable, well-structured datasets and KPI layers for GRC reporting.
Experience with BI and dashboarding tools (Power BI, Tableau, etc.) to create stakeholder-ready
dashboards and recurring reports.
Strong automation and monitoring skills; ability to automate data refreshes and implement alerts for
failures, anomalies, and data quality breaches.
Strong collaboration and communication skills, with the ability to translate stakeholder needs into
clear deliverables and explain insights, assumptions, and limitations effectively.
Strong analytical and problem-solving skills, including the ability to perform root-cause analysis and
interpret trends, anomalies, and control performance indicators.
At least 8 to 10 years of experience in data analysis, data engineering, or similar roles.
Bachelor's degree or equivalent in Data Analytics, Business Analytics, Data Science,
Finance/Accounting, or a related field
Preferred experience in Risk Management, Internal Controls, Auditing, or GRC frameworks as well as
insights into working with Finance processes.
Knowledge of process mining tools (e.g., Celonis) or AI-based analytics tools is advantageous.
Proficiency in Python and Microsoft data analysis tools.
Strong project management and prioritization skills, with the ability to manage multiple reporting and
analytics deliverables effectively
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing
accommodationrequests@maersk.com
.
