Analytics Engineer

Mid-level
🇩🇰 Denmark
Data Analyst
Technology

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week.

Growing as fast as we do in Veo means that every day is different, exciting, and challenging, both on the front line and in the back office.

But that’s not the most remarkable thing about us.

The coolest thing is our people. We’ve attracted some of the brightest minds in the industry. They are the reason we can create a great product and do it while enjoying ourselves.

We are looking for a data-savvy analytics engineer to join our BI team and aid us in developing Veo’s analytical platform, supplying the business with data and insights to make better decisions.

You are enthusiastic about data, emphasizing data warehousing and advanced analytics. You also enjoy doing deep-dive analyses and collaborating with business users and analysts to discover new critical insights.

Key responsibilities and tasks:

  • Develop, maintain, and expand our data warehouse and analytical platform through dbt.
  • Collaborate with subject matter experts across the business to interpret and model data for company-wide usage.
  • Build dashboards and create one-off reports and deep dives.
  • Support self-service initiatives and deep-dive analyses.

Experience and skills:

  • Expert in data modeling and modern data warehousing.
  • Proven experience with SQL and dbt.
  • Work experience within data analytics, data engineering, or BI.
  • Natural curiosity and ability to understand many different business areas.
  • Comprehensive analytical mindset.
  • Fluent in English, both written and spoken.

Nice to have:

  • Experience with BigQuery and GCP.
  • Experience with BI tools like Looker, Looker Studio, Power BI, Tableau, or similar.
  • Good understanding of data visualization best practices.
  • Experience with Git and CI/CD.
  • Experience with Python or another programming language.

We are a small, diverse team with a big impact. We support all parts of the business - from sales and shipping to product engagement and streaming diagnostics - with curated data, self-service BI, and deep-dive analyses through our modern data stack. Teamwork is key, internally and externally, as we work on consolidating data from all the widely different business areas based under Veo HQ’s roof, making for some truly remarkable cross-functional meetings and collaborative insights!

At Veo, you'll be part of a thriving work environment where every day brings new excitement. Our rapid growth ensures a diverse and ever-changing atmosphere. We believe in work-life balance and providing a positive culture that allows you to thrive personally and professionally.

Our Copenhagen office mirrors our innovative technology – with an indoor ball court, rooftop terrace, and well-equipped gym. We have created a facility that supports connecting disciplines across the business, facilitates creative thinking, and gives the space to engage with colleagues, our global partners, and the entire Veo community.

Diversity and differences are valuable assets for us. We value diversity and inclusion and welcome people from all backgrounds. If you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply.

We’re committed to building a diverse, inclusive, and authentic workplace. And you may be just the right candidate for this or other roles.

Still interested? Join us at Veo and become a part of a team that delivers greatness and has a great time doing it.

We will invite for interviews continuously, so apply with LinkedIn or your resume as soon as possible.

 

Veo

Veo

A sports technology company focused on democratizing video and analysis for sports teams on all levels.

Sports
Technology

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