BI Engineer

🕒 May 6

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Creditstar Group AS

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

👥 B2C

💳 Fintech

💸 Finance

B2C • Fintech • Finance

Creditstar Group AS is an international consumer finance company that utilizes technology, automated processes, algorithms, and data analysis to deliver credit products to consumers across eight European countries. With a focus on innovation and growth, Creditstar provides installment loans and revolving credit products, reaching over a million registered customer accounts and managing assets totaling €336. 1 million. The company has been recognized for its strong growth strategy, winning several prestigious awards in the European business community. By leveraging fintech innovations, Creditstar aims to make financial products accessible and easy to manage for its customers.

📋 Description

• Design, build, and maintain Power BI dashboards that serve as the primary reporting layer for finance, risk, and product teams. • Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis. • Design and implement scalable semantic data models in Power BI including DAX measures, star-schema structures, and calculated tables. • Build and manage data transformation logic using dbt, collaborating with the data engineering team to ensure the right data is available. • Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements. • Own data validation and quality checks across your reporting surfaces. • Contribute to metric governance: documenting definitions, business logic, and calculation methodology.

🎯 Requirements

• Strong proficiency in SQL • Hands-on experience with Power BI and DAX. • Experience with Snowflake or other cloud data warehouses • Solid understanding of data modeling concepts • Experience with dbt or similar data transformation tools • Strong analytical and problem-solving skills • Bachelor’s degree in Engineering, Computer Science, Statistics, or related field • 3–7 years of relevant experience in data analytics or BI roles

🏖️ Benefits

• Direct influence on data-driven products that reach millions of people. • A talented international team with a collaborative culture. • A dynamic, challenging, and rewarding role in a rapidly expanding international company. • Health Insurance, Life Insurance, and Provident Fund (PF).