Data Analyst

• In this role, you will have the opportunity to develop and lead the strategy, objectives, targets, and operating model for Enterprise data, analytics, and AI of the Marine & Ports Division.
• Each day, you will coordinate the development, governance, and adoption of data, analytics, and AI capabilities and related standards, policies, and practices.
• You will also showcase your expertise by combining strategic leadership, stakeholder consulting, and hands-on contribution with cross-functional teams to shape the usage of enterprise data, business processes, and digital applications to improve efficiency, quality, transparency, compliance, and business decision-making.
• Leading and continuously improving the Marine & Ports data, analytics, and AI governance and operating model, ensuring clear ownership, stewardship, decision-making, stakeholder engagement, and effective representation of divisional needs toward corporate, cross-divisional, platform, and delivery teams.
• Maintaining close coordination with business lines and functions to ensure data, analytics, and AI priorities align with business processes, applications, and transformation initiatives.
• Defining, communicating, and maintaining the divisional data, analytics, and AI roadmap, including demand prioritization, reuse and de-duplication, architecture alignment, delivery status, budgets, risks, dependencies, and implementation progress.
• Supporting and localizing the implementation of new corporate data standards, transformation programs, data ownership models, access governance, and compliance mechanisms by ensuring appropriate governance, standards, and controls for data management and security.
• Representing AI Factory, corporate AI, and platform capabilities towards division needs, translating business opportunities into viable use cases, ensuring technical soundness, implementation success, monitoring progress, adoption, value, and handling issue escalations.
• Contributing hands-on where needed: framing business problems, defining data requirements, reviewing solution concepts, preparing executive material, creating prototypes or analyses, validating outputs, and supporting issue resolution.
• Coordinating enterprise data budget planning and tracking for divisional data, analytics, and AI activities, including internal service costs, external support, platform usage, and business-value justification.

Division Data and Analytics Lead

• Participate in a range of projects aimed at increasing new user acquisition or user engagement and improving analytics.
• Tailor the role based on interests and past experience, ranging from data engineering via operations management to marketing campaign analysis and management.
• Collaborate with an experienced team, providing support and taking on increasing responsibilities over time.
• Work creatively and hands-on to contribute to rapid company growth.

Data Analyst jobs in Finland

See all jobs on JobTailor

Division Data and Analytics Lead

Business / Data Analyst