Business Data Insights Manager

6 days ago


Copenhagen, Copenhagen, Denmark Driversnote ApS Full time

About Our Company

Driversnote ApS is a SaaS company located in Copenhagen. Our main goal is to provide users with efficient mileage logging solutions. With over 3 million active users, we've established ourselves as industry leaders.

We're proud of our collaborative work environment, where designers, developers, marketers, and support staff work closely together to achieve shared goals. At Driversnote ApS, you'll find a culture that values innovation, learning, and continuous improvement.

The Role and Responsibilities

As our new Principal Data Analyst, you will play a key role in shaping our data analysis capabilities. Your responsibilities will include:

  • Owning and maturing our data warehouse and analytics setup.
  • Proactively identifying opportunities for business growth and improving user experience.
  • Providing data insights to support strategic management team decisions.
  • Developing and executing experiments to assess hypotheses with large data sets.
  • Driving the build-measure-learn loop through collaboration on experiment designs.
  • Ensuring smooth data flow and user-friendly reporting for product teams.
  • Taking a hands-on approach to building, updating, and customizing data sources.
  • Upskilling data capabilities throughout the organization.

We expect you to bring:

  • 3+ years of experience in analyzing user behavior and funnels inside mobile or web applications.
  • Proficiency in BigQuery or similar SQL-based platforms, including complex query writing and data manipulation.
  • Deep knowledge of business intelligence, data warehousing, data science, data engineering, and ETL pipelines.
  • Understanding of typical marketing channels and attribution, especially Google Ads.
  • Experience working with data from Google Analytics, Firebase, or similar platforms.
  • Looker Studio or similar reporting tool expertise.
  • Excellent communication skills in spoken and written English.
  • Ambiguous environment adaptability with a focus on detail.
  • Actionable insights derivation from complex datasets and business strategy driving.


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