Senior Finance Data Analyst

Join our global team for a career filled with opportunities to solve challenges both small and large, local and global, simple and complex.

About Us

Wilhelmsen Ship Management is one of the world’s largest third-party ship managers originated from Oslo, Norway with a portfolio of more than 450 vessels, a pool of more than 14,000 seafarers and over 900 shore-based employees all over the world. Our employees are working with a comprehensive global maritime group providing over half of the merchant fleet with essential products and services, along with supplying crew and technical management to the largest and most complex vessels ever to sail.

We offer a culture and vibrant work environment of strong leadership, collaborative, career development, work-life balance and a job that is both challenging and stimulating. All team members are empowered with the freedom to influence each other as long it complies with our Company’s values and vision.

Main responsibilities

Analytics & Reporting Leadership

• •Lead the design, development, and continuous improvement of dashboards, reports, and analytical solutions.
• •Establish and promote reporting standards, KPI definitions, and data visualization best practices.
• •Review and quality assure analytical deliverables produced by analysts.

Business Analysis & Stakeholder Engagement

• •Partner with business stakeholders to understand objectives, processes, and reporting requirements.
• •Translate business needs into analytical requirements and solution designs.
• •Challenge and refine requirements to ensure alignment with business goals and data capabilities.
• •Facilitate discussions between business users and technical teams.

End-to-End Analytics Lifecycle Oversight

• •Maintain a holistic understanding of how data flows from business processes and source systems through integration, modelling, and reporting layers.
• •Understand key source systems, including SAP and other business applications, and how they contribute to analytical outputs.
• •Trace and troubleshoot data issues across the analytics value chain.
• •Collaborate with data engineering and platform teams to ensure analytical requirements are supported by appropriate data foundations.

Data Governance & Quality

• •Promote consistent data definitions, business rules, and KPI calculations.
• •Support data quality initiatives and validation processes.
• •Contribute to documentation of data lineage, reporting logic, and analytical assets.
• •Help establish and maintain trusted reporting and information management practices.

Coaching & Capability Development

• •Mentor and support junior and mid-level analysts.
• •Share best practices in analytics, business analysis, and reporting development.
• •Promote a culture of continuous learning, analytical thinking, and business understanding.
• •Support the development of analytical capabilities across the organization.

Accountabilities

• •Accountable for delivering trusted, timely, and business-relevant Finance reporting and insights.
• •Ensures adherence to data governance, reporting standards, and KPI definitions across Finance analytics.
• •Acts as the subject matter expert for Finance data and analytics, promoting a holistic understanding of the end-to-end data value chain.

Qualifications

What Experience and Skills Required:

• •Bachelor’s degree in Data Analytics, Computer Science, Software Engineering, Finance, Economics, Statistics, Mathematics, or a related quantitative discipline will be preferrable.
• •Minimum 5 years' experience in a similar data analytics or business intelligence role.
• •Advanced experience with Tableau or equivalent BI tools.
• •Strong Excel, SQL and data analysis skills.
• •Strong analytical thinking and problem-solving capabilities.
• •Experience translating business requirements into analytical solutions.
• •Strong understanding of data modelling, reporting, and analytics best practices.
• •Proven ability to engage stakeholders and mentor analysts.
• •Good understanding of the end-to-end data and analytics lifecycle.

Desirable

• •Familiarity with SAP architecture, data structures and enterprise financial systems is highly desirable.
• •Experience with utilizing cloud data platforms and data governance practices.
• •Experience with programming languages (e.g., Python) and process automation tools (e.g., Power Automate or similar) to support analytical solutions and business process improvements.

*Only shortlisted candidates will be contacted

Become a valued member of our team, where every day presents new opportunities for learning and development. Sound interesting? Click "APPLY" now to embark on a rewarding career journey!

Please note that all positions at Wilhelmsen are subject to reference and ID checks. For certain roles, additional background screening may be required.

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