Data Analyst - Text Experience to Schibsted

At Schibsted, we are building modern content experiences powered by data. Our mission is to enable data-informed decision-making across editorial and product teams - enhancing storytelling, driving user engagement, and maximizing business outcomes.

We are now looking for a Stockholm-based Data Analyst to join the Content Data team, embedded within the Text Experience product area. This area is responsible for the full spectrum of text-based experiences across Schibsted’s news destinations – from articles, comments, and reading behavior to AI-powered features like chatbots.

In this role, you will help uncover how users engage with text content—bringing insights to editors, journalists, and product teams to improve both experience and performance. You will be the go-to data partner for driving engagement through structured feedback loops, experimentation, and continuous analysis.

What will you do in this role?

You’ll play a critical role in shaping how we track, interpret, and act on user engagement for articles across our brands. Specifically, you will:

• Analyze user behavior on text content, focusing on metrics such as scroll depth, read time, comments, and reactions.
• Design and maintain dashboards that monitor article engagement across entry points and formats.
• Partner closely with editors and product teams to provide real-time insights into what content resonates with audiences.
• Support experimentation and A/B testing of new storytelling features (e.g., infinite scroll, related article modules).
• Track and compare performance across traffic sources such as SEO, social media, and front-page referrals.
• Act as a data champion for optimizing text content engagement and performance - balancing editorial freedom with measurable outcomes.
• Contribute to a shared understanding of key engagement metrics and promote data literacy across the editorial domain.

What we’re looking for:

You bring a strong analytical mindset, a structured approach to problem-solving, and the ability to collaborate effectively with cross-functional stakeholders. More specifically, you have:

• Solid experience working with SQL and data visualization tools like Tableau or Amplitude.
• A good understanding of content engagement metrics and user behavior in digital products.
• Experience with A/B testing and statistical analysis.
• A clear and compelling communication style - able to translate complex data findings to non-technical audiences, including journalists.
• Experience working in media, content, or digital product environments is a plus.
• Competence in Python or R is a plus

Our tech stack:

• Data platform: AWS, Snowflake
• Transformation and orchestration: dbt, Airflow
• Programming and scripting: R, Python, SQL
• Exploration and delivery: Tableau, Amplitude, Streamlit, Kilkaya

Who you are:

You’re analytical, detail-oriented, and thrive on turning complex data into clear, actionable insights. You communicate fluently with both technical and editorial teams, and collaborate to align analysis with strategic goals. Adaptable and curious, you're eager to learn and improve in a fast-moving environment.

Why we enjoy working here:

At Schibsted, we value openness, curiosity, and collaboration. You’ll be part of a diverse, inclusive workplace that encourages bold thinking and continuous learning. Our work directly supports public interest journalism—and we take that responsibility seriously.

Whether you’re enabling better content decisions, driving user personalization, or shaping experimentation at scale, your contributions will help shape the future of digital media in the Nordics.

You will be joining a collaborative, impact-driven team that works across disciplines like technology, product, and editorial. We believe in structured yet flexible ways of working, balancing clear ownership with strong teamwork. Curiosity, openness, and a drive to create value through data are at the heart of how we operate. We support each other, celebrate continuous learning, and are passionate about turning complex challenges into meaningful solutions for our users and brands.

Application process:

Please apply for this position by sharing your CV with us and a letter of motivation. You are welcome to write it in Swedish. Selection of candidates takes place on an ongoing basis during the process.