Analytics Engineer
Description For Analytics Engineer
Planday from Xero, a leading digital solution for scheduling and workforce management, is seeking an Analytics Engineer to revolutionize their data systems. This role involves transforming raw information into valuable insights that drive innovation and growth. The ideal candidate will have at least three years of experience in software engineering or technical analysis, with expertise in SQL and Python for data modeling, pipeline building, and statistical analysis.
Key responsibilities include designing and maintaining technical data infrastructure, developing scalable data pipelines, creating data models, and applying statistical analysis techniques. The role also involves collaborating with cross-functional teams to uncover key metrics and customer insights, enabling data-driven decision-making.
The successful candidate will be proficient in data wrangling, cleaning, and activation, with experience in tools like dbt, GitHub, and data lakehouse solutions (preferably Snowflake). They should have a strong understanding of software engineering best practices, descriptive analytics, data visualization, and basic inferential statistics. Knowledge of machine learning concepts and predictive modeling techniques is also required.
Planday offers a competitive benefits package, including pension, health insurance, parental support, and generous vacation time. The company provides growth opportunities, flexible remote work options, and a strong social culture. This role is based in Copenhagen, Denmark, with a hybrid work arrangement.
Join Planday to make a meaningful impact, improving the lives of shift workers globally while working with cutting-edge technology in an inclusive and diverse environment.
Responsibilities For Analytics Engineer
- Design, set up, and maintain technical data infrastructure
- Develop production-ready, scalable data pipelines and lead the life cycle of data-related backend services
- Create and manage data models to transform raw data into valuable assets, ensuring data accuracy and quality
- Utilize Python and SQL for data manipulation, activation, and cleaning, organizing, and ensuring data quality for analytical purposes
- Apply statistical analysis techniques for summarizing, interpreting, and predicting data, alongside basic machine learning concepts to explore predictive modeling techniques
Requirements For Analytics Engineer
- At least three years of experience in software engineering or a technical analytical role
- Ability to design and build data processing, storage, and activation systems for specific projects based on set requirements
- Experienced in SQL for data modeling and analysis
- Experienced in Python for building data pipelines and statistical analyses
- Experience with dbt, GitHub, and data lakehouse solutions (ideally Snowflake)
- Able to drive software engineering best practices, such as writing maintainable and testable code
- Efficient execution of data wrangling and cleaning processes for multiple projects
- Ability to activate datasets and insights through reverse ETL jobs to different systems
- Proficiency in descriptive analytics, data visualization, and basic inferential statistics
- Independent problem-solving abilities using analytical reasoning and critical thinking skills
- Understanding of machine learning concepts and predictive modeling techniques
Benefits For Analytics Engineer
- Pension
- Health insurance
- Inclusive support for new parents
- Generous vacation
- Employee Share Plan
- Growth and progression opportunities
- Flexible remote work
- Strong social culture with team and company activities
- Healthy work-life balance
- Autonomous approach to work
