Data Analyst - Maternity Cover (7 months)
Copenhagen
Planday – Product /
Fixed Term /
Hybrid
Scheduling isn't simply filling shifts. It's finding the sweet spot that enables businesses to grow and team members to enjoy the perfect work/life balance.
At Planday from Xero, we aim to use Agentic AI to build a future where managers can seamlessly free up invaluable time for their business and teams. We're not just building software: we're on a mission to make shift work more human, to change work/life balance from a luxury to a reality for all shift workers. We're using advanced technology to help humans reach their full potential. At work and in life.
Founded in 2004, Planday is headquartered in Copenhagen, Denmark and helps create perfect schedules for hundreds of thousands of users across the world.
As a Data Analyst, you'll be reporting directly to our Head of Data & Analytics and will play a strategic role in transforming complex data into actionable insights that directly fuel our business growth and critical decisions.
You'll craft compelling data narratives, turning raw information into valuable assets that guide product development and key strategic choices.
Collaborating across teams, you'll uncover pivotal metrics and deep customer insights, empowering informed decisions throughout Planday. Through impactful visualizations and persuasive communication, you'll ensure these insights resonate with stakeholders at all levels.
Furthermore, you'll leverage advanced analytical techniques to pioneer predictive modeling and automation, fostering a culture of data-driven innovation that is central to Planday's continued success.
This role is a maternity cover role for about 7 months.
What you'll do
- Collaborate cross-functionally with product, commercial, and leadership teams to define, track, and report critical metrics, delivering comprehensive customer insights.
- Design and maintain robust data models that transform raw data into high-value assets, ensuring accuracy and quality.
- Develop impactful, hands-on solutions, visualizations, and dashboards across the business, primarily utilizing Tableau to communicate insights effectively.
- Leverage proficiency in Python, R, and SQL for advanced data manipulation, statistical analysis, and ensuring high data quality.
- Apply advanced statistical analysis techniques for summarizing, interpreting, and predicting data, alongside machine learning concepts for predictive modeling techniques.
- Translate complex data into clear, actionable narratives through compelling data storytelling, impactful presentations, and strong interpersonal communication.
- During your time with us we’re expecting key projects to include: Product-Market-Fit analysis, customer lifecycle insights, as well as supporting product teams.
Success looks like
- Exceptional data models that consistently deliver accurate, high-quality data assets, underpinning strategic initiatives.
- Proactive delivery of actionable insights and critical metrics that directly lead to informed decisions and tangible business improvements for product and commercial teams.
- Development and implementation of intuitive and highly impactful visualizations and dashboards that significantly elevate data-driven decision-making across Planday.
- Insights and recommendations that are consistently trusted and acted upon by product and commercial teams, stemming from rigorous analysis and robust data practices.
- Clear and compelling communication of complex data insights, fostering understanding and alignment among stakeholders, resulting in measurable positive business impact.
- Proactive problem-solving and innovative thinking in addressing data-related challenges, leading to continuous improvement and advancement in our analytical capabilities.
- Successful exploration and implementation of advanced analytical techniques, including machine learning, to unlock new opportunities and generate groundbreaking insights.
What you'll bring with you
- Proven experience in Python, R, and advanced SQL (including window functions, CTEs) for advanced data management and statistical analysis.
- Proficiency in crafting compelling data stories, leveraging visualization tools like Tableau to transform complex datasets into clear, impactful visualizations that resonate with diverse stakeholders.
- Proven capability in product opportunity sizing, metric development, and building robust metric trees to guide product strategy and evaluation.
- Demonstrated ability to lead and optimize data wrangling and cleaning processes across multiple, complex projects.
- Exceptional communication skills, capable of translating complex data insights into compelling narratives through data storytelling and high-impact presentations for both technical and non-technical audiences.
- A highly analytical mindset, consistently identifying and solving complex data challenges with innovative solutions that directly drive data-driven strategic decisions.
- Practical application of machine learning fundamentals to solve specific business problems through predictive modeling.
At Planday, we offer you
- Benefits like pension, health insurance and generous vacation
- 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 abilities
Finally, 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.
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.
