Analytics Engineer

Job title:

Analytics Engineer

Company:

Xero

Job description

Planday from Xero is a leading digital solution that uncomplicates everyday scheduling and workforce management by making it easier for businesses and shift workers around the world to communicate, collaborate, and get work done.Powered by a community of local industry experts, Planday provides a best-in-class digital platform that is easy to use, accurate, secure, and compliant with local needs and standards. From payroll to POS and reporting, its open API and tech ecosystem is scalable to fit shifting business needs and to build an engaged, flexible workforce.Founded in 2004, Planday is headquartered in Copenhagen, Denmark and supports over 400,000 users across Europe and the US. Planday was acquired by Xero in 2021.How you’ll make an impactAs an Analytics Engineer, you’ll revolutionize our data systems, turning raw information into transformative insights that drive innovation and growth. Your expertise will shape data into valuable assets, guiding strategic decision-making and product development. Collaborating closely with cross-functional teams, you’ll unveil key metrics and customer insights, empowering us to make data-informed decisions. By activating complex datasets and applying advanced analysis techniques, you’ll pave the way for automation and predictive modeling. With your dedication to excellence and problem-solving skills, you’ll inspire a culture of data-driven innovation that enables Planday’s success.What you’ll do

• 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.

Success looks like

• Seamless technical infrastructure setup and maintenance ensures uninterrupted data flow and accessibility.
• Scalable data pipelines and optimized backend services lead to increased efficiency in data processing.
• Well-designed and maintained data models that effectively transform raw data into valuable assets, ensuring data accuracy, quality, and lineage.
• Consistently delivering accurate and reliable data models through proficient use of programming languages and statistical techniques, facilitating data-driven strategies and initiatives.
• Regularly delivering actionable insights and key metrics to commercial and product engineering teams, contributing to informed decision-making and improved business outcomes.
• Proactive problem-solving and innovative thinking in addressing data-related challenges, leading to continuous improvement and advancement in analytical capabilities.
• Exploration and application of advanced analytical techniques, such as machine learning, to uncover new opportunities and insights for the organization.

What you’ll bring with you

• 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.

At Planday, we offer you:– Benefits like pension, health insurance, inclusive support for new parents and generous vacation– On top of your annual base salary, you are offered to be part of an Employee Share Plan– Growth and progression opportunities – we want you to grow with us– Flexible remote work– Strong social culture with lots of team and company activities– Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe– Healthy work-life balance and autonomous approach to work. We trust in you and your abilitiesFinally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work.Our tech stack is cutting edge and our engineering work is supported by dedicated in-house scrum masters and agile evangelists.At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture, and we highly value the strength that diverse backgrounds offer.As an equal opportunity employer, we strive to create an equitable experience for all our candidates throughout the process. Please let us know if you need reasonable accommodation during the application or interview process.All applicants will be considered for employment without attention to any personal characteristics.

Expected salary

Location

København

Job date

Thu, 05 Sep 2024 07:42:09 GMT

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