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Data Engineer / Data Analyst at ANV Nordic

Academic Work Sweden AB

Stockholms län, Stockholm

Previous experience is desired

170 days left
to apply for the job

At ANV Nordic, a growing insurance brokerage with a family-oriented culture and global roots, we are looking for you who are passionate about transforming raw data into strategic insights. Join us in building ANV's data future in a role where your expertise directly impacts the business.

ANV Nordic was founded in 2005 and specializes in customized value-added insurance distributed through partners in industries such as Banking & Finance, Telecom, Energy, and Retail. Here, you become part of a family-like team of approximately 50 employees with offices in Stockholm, Oslo, Copenhagen, Warsaw, and Berlin. The work environment is dynamic, entrepreneurial, and characterized by great trust, professionalism, and strong camaraderie, where we strive together to create innovative solutions for our partners.

As a Data Engineer / Data Analyst, you will play a central role in ensuring that ANV's data is accurate, complete, and usable for decision-making. You will have a broad mandate spanning from data quality and infrastructure to finished reports and business analysis. As a person, you are expected to have strong self-drive, take initiative, and thrive in supporting the business where needed.

What we offer

You will have an important role in a growing company with short decision-making paths and an open culture. This is initially a consultancy assignment with the goal of becoming a direct employee at ANV Nordic.

Key Responsibilities

Your overarching goal is to ensure high data quality, build robust reporting solutions, and manage databases to support both business needs and regulatory requirements.

In this role, you will:

  • Drive and be responsible for database management in Snowflake, ensuring that raw data from core systems maintains the highest quality and is updated correctly.
  • Build, develop, and maintain financial, regulatory, operational, and business-critical reports.
  • Work hands-on with setting up, optimizing, and maintaining data pipelines, as well as writing SQL to create views and tables that shape our data infrastructure.
  • Collaborate closely with Underwriting and Operations to define central KPIs, ensure traceability and GDPR compliance, and analyze consequences of changes in system and business logic.
  • Build smart reporting layers that make raw data understandable and ensure the database is easy to use, so that your colleagues can retrieve the data they need themselves.

We are looking for someone with:

  • At least two years of experience in a role such as Data Engineer, Data Analyst, or similar.
  • Educational background in Industrial Economics, Computer Science, or similar.
  • Knowledge of databases and database setup.
  • Good knowledge of SQL and experience working with databases (preferably Snowflake).
  • Fluency in Swedish and English.
  • Basic knowledge of Python.
  • Good understanding of GDPR and data logging/security.

Merits include:

  • Experience from the insurance or finance industry.
  • Good knowledge of Power BI or other BI tools.
  • Experience designing and setting up cloud databases.

To succeed in this role, you have the following personal qualities:

  • Initiative-taking
  • Goal-oriented
  • Organized
  • Analytical and meticulous
  • Intellectually curious

Our recruitment process

This recruitment process is handled by Academic Work, and our client's request is that all questions regarding the position are sent to Academic Work.

We apply continuous selection and will remove the ad when enough candidates have reached the final stage of the recruitment process. A CV is required when applying. We do not use cover letters as a selection method, so one is not needed. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to find the candidate with the highest potential for the role and to promote equality, diversity, and a fair recruitment process.

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