Analytics Engineer
Hybrid
Full Time
#Engineering
#SQL
#Python
#Data Modeling
#Data Pipelines
#Statistical Analysis
#Machine Learning
#DBT
#GitHub
#Snowflake
#Data
At Planday, part of the Xero family, we are dedicated to simplifying the complexities of workforce management and scheduling. Since our founding in 2004, we have built a digital platform that helps businesses and shift workers across the globe communicate and collaborate more effectively. Headquartered in Copenhagen, we support over 400,000 users, providing a secure and scalable ecosystem that integrates everything from payroll to reporting. We are looking for passionate individuals to join our mission of improving the daily lives of shift workers everywhere.
The role
We are seeking a Senior Analytics Engineer to join our team on a full-time basis. This is a hybrid position based in Denmark, where you will play a pivotal role in transforming our raw data into actionable insights. You will be responsible for building the infrastructure that drives our product development and strategic decision-making, working alongside cross-functional teams to ensure our data remains a reliable and powerful asset.
Core responsibilities
- Design, implement, and maintain our technical data infrastructure while developing production-ready, scalable data pipelines.
- Manage and evolve data models to convert raw information into high-quality, reliable assets that support our business goals.
- Utilize Python and SQL to perform advanced data manipulation, statistical analysis, and predictive modeling to uncover new organizational opportunities.
Skills and experience
To be successful in this role, you should bring a strong technical background and a proactive approach to problem-solving. We are looking for the following qualifications:
- At least three years of experience in a technical analytical role or software engineering.
- Proficiency in SQL for complex data modeling and Python for building pipelines and performing statistical analysis.
- Hands-on experience with dbt, GitHub, and data lakehouse solutions, specifically Snowflake.
- A commitment to software engineering best practices, including writing maintainable and testable code.
- Strong skills in data wrangling, descriptive analytics, and a foundational understanding of machine learning concepts.
- Fluency in English to collaborate effectively within our international team.
Compensation and benefits
We believe in supporting our employees both professionally and personally. Our benefits package includes:
- A hybrid work model that promotes a healthy work-life balance.
- Generous paid time off.
- Access to an Employee Share Plan.
- Comprehensive pension and health insurance plans.
- Inclusive support for new parents and a strong focus on professional growth and progression.
- A vibrant, social company culture with regular team activities.
How to apply
If you are ready to help us revolutionize how the world manages work, we would love to hear from you. Please submit your application to be considered for this position. We are an equal opportunity employer and are committed to creating an equitable experience for every candidate. If you require any reasonable accommodations during our interview process, please let us know.
