BI Analyst, Claims Analytics & Insights (Hybrid)

If P&C Insurance Ltd (publ), Branch Finland; Alta; Hybride; NOK 571 000 - 723 000; Plein temps

Avantages offerts par ce poste

Hybrid workplace

Wellness allowance

Social activities

Résumé du poste

If is Nordic insurance leader seeking a BI Analyst to transform data into actionable insights and drive value creation. You will collaborate with Controlling, Business Development, Data Management and Analytics to monitor, analyze, visualize and communicate fact-based intelligence of operations.

You will work across the Nordic Claims Reporting & Analytics team, supporting performance follow-up, and developing data products and visualizations to enable data-driven decisions.

Qualifications

• Excellent analytical, data processing, and problem‑solving skills.
• Excellent skills & experience in using BI tools such as Databricks or Tableau.
• Relevant academic/university degree.
• Experience of data transformation and programming (e.g. SQL).
• Self‑motivation and ability to work in a delivery‑oriented environment.
• Fluency in English and one of the Nordic Languages.

Responsabilités

• Support and challenge the organization on performance and value creation.
• Contributing to our operational reporting and analysis of results.
• Maintaining and developing our current data products and visualizations.
• Being a role model, contributing to our professional way of working and knowledge sharing.

Connaissances

Analytical thinking

Data processing

Problem solving

Databricks

Tableau

SQL

English & Nordic language fluency

Formation

Bachelor’s degree

Outils

Databricks

Tableau

Description du poste

If is Nordic insurance leader seeking a BI Analyst to transform data into actionable insights and drive value creation. You will collaborate with Controlling, Business Development, Data Management and Analytics to monitor, analyze, visualize and communicate fact-based intelligence of operations.

You will work across the Nordic Claims Reporting & Analytics team, supporting performance follow-up, and developing data products and visualizations to enable data-driven decisions.