Arbetsbeskrivning

Scandinavian Airlines System SAS

Scandinavian Airlines (SAS) is looking for a Digital Analyst to strengthen our Digital Sales organization and support the continuous optimization of our e-commerce performance. As part of SAS’s broader digital transformation, this role will play a key part in enabling a more data-driven, insight-led commercial organization.

• Turning large volumes of digital and e‑commerce data into clear, actionable insights that support day‑to‑day decision making
• Understanding and optimizing complex customer journeys across multiple touchpoints and channels
• Ensuring high-quality tracking and data reliability across digital platforms, in collaboration with product, digital, and IT teams
• Balancing ad‑hoc insight requests with recurring reporting needs in a fast-paced environment
• Supporting teams in becoming more data self-sufficient through improved dashboards and reporting solutions
• Helping stakeholders interpret performance correctly and avoid misreading metrics or attribution results
• Working in a test‑and‑learn culture where experimentation, iteration, and learning from failures are encouraged
• Exploring how AI and automation can streamline recurring reporting and free up time for higher-value analysis

Key Responsibilities:

• Analyze e‑commerce performance with a focus on conversion rate (CR) and cost per acquisition (CPA)
• Deliver regular reports and ad‑hoc analyses to e‑commerce managers and other stakeholders
• Conduct funnel, journey, and behavioral analyses to identify optimization opportunities
• Support campaign and attribution analysis together with paid media and performance teams
• Enable and improve self-service reporting using Google Analytics and related tools
• Verify, implement, and troubleshoot tracking using Google Tag Manager
• Support setup, analysis, and follow‑up of A/B tests and experiments
• Collaborate closely with e‑commerce, product, digital, and IT teams to align measurement and insights with business needs
• Contribute to maintaining and evolving existing KPIs, and support the definition of new ones when needed
• Identify and implement opportunities to automate recurring reports and data workflows, reducing manual effort across the team Explore and test AI-assisted tools and methods to enhance analysis, reporting efficiency, and insight generation

You’ll join a growing Digital Sales team within eCommerce, responsible for driving digital revenue through performance marketing, optimization of our web and app channels, SEO/SEM, and data-driven analytics. We work closely with Digital/IT, Brand & Marketing, Partnerships, Inflight, and Analytics, and the wider Commercial organization to deliver aligned, high-impact initiatives.

• Experience working hands-on with Google Analytics and a good understanding of core e‑commerce metrics
• The ability to analyze data and translate it into clear insights that support business decisions
• Basic experience with SQL and a willingness to continue developing your technical skills
• Hands-on experience with A/B testing and an understanding of experimentation principles
• Confidence working with tracking and tagging, especially using Google Tag Manager
• A pragmatic, problem‑solving mindset and enjoyment in digging into details when needed
• Strong collaboration skills and the ability to work with multiple stakeholders across different teams
• Openness to feedback, learning, and experimenting in a fast-paced, “fail fast” environment
• Good communication skills, enabling you to explain data and insights to both technical and non-technical audiences
• Exposure to BI or visualization tools such as Looker, Power BI, or similar

It’s a plus if you also have:

• Experience working with BigQuery or other cloud-based data warehouses
• Familiarity with experimentation or CRO tools (e.g. Optimizely, VWO, or similar)
• Basic knowledge of Python or R for data analysis or automation
• Experience working with attribution models or media performance analysis
• Previous experience in e‑commerce, travel, or large-scale digital environments
• Interest in continuously improving how data, tracking, and insights are used across teams
• Experience using AI tools to supported data analysis, documentation, or reporting workflows
• Interests in automation of data pipelines or report generation using Python, SQL scheduling, or BI tool features

• Deadline for application: 29/05/2026. Please send us your CV as soon as possible, as interviews are conducted continuously, and the position may be filled before the application deadline. Note that we are not able to handle any applications that are sent by email, due to GDPR regulations. 
• Desired start date: As soon as possible.
• Position: Fulltime (100%) starting with a 6-month probation period.
• This position is based in Frösundavik, Solna (Stockholm), and you will be expected to work onsite. Remote work may also be an option, depending on the agreement made with your manager.