At a Glance
- Tasks: Transform complex data into actionable insights and craft compelling narratives.
- Company: Join Planday, a leading digital solution for workforce management.
- Benefits: Enjoy flexible remote work, generous vacation, and an inclusive culture.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact on shift workers' lives with your analytical skills.
- Qualifications: Expertise in Python, R, SQL, and data storytelling required.
The predicted salary is between 50000 - 65000 £ per year.
Our Purpose
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 and accounting 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, Australia and the US. Planday was acquired by Xero in 2021.
How You’ll Make An Impact
As a Senior Data Analyst, you’ll 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 visualisations and persuasive communication, you’ll ensure these insights resonate with stakeholders at all levels. Finally, you’ll leverage advanced analytical techniques to pioneer predictive modelling and automation, fostering a culture of data‑driven innovation that is central to Planday’s continued success.
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, visualisations, and dashboards across the business, primarily utilising Tableau to communicate insights effectively.
- Leverage expert proficiency in Python, R, and SQL for advanced data manipulation, statistical analysis, and ensuring high data quality.
- Apply advanced statistical analysis techniques for summarising, interpreting, and predicting data, alongside machine learning concepts for predictive modelling.
- Translate complex data into clear, actionable narratives through compelling data storytelling, impactful presentations, and strong interpersonal communication.
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 visualisations 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 that address 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 expertise in Python, R, and advanced SQL (including window functions, CTEs) for data management and statistical analysis.
- Proficiency in crafting compelling data stories, leveraging visualisation tools like Tableau to transform complex datasets into clear, impactful visualisations that resonate with diverse stakeholders.
- Proven capability in product opportunity sizing, metric development, and building robust metric trees to guide product strategy and evaluation.
- Mastery of advanced statistical analysis techniques, including hypothesis testing, various regression models, and time‑series analysis for forecasting.
- Solid understanding and practical experience with user activity tracking tools like Mixpanel, Amplitude, or similar product analytics platforms.
- Demonstrated ability to lead and optimise data wrangling and cleaning processes across multiple, complex projects.
- Experience in designing and analysing experiments (e.g., A/B tests) to establish causal relationships and inform data‑driven decision‑making.
- 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 modelling.
At Planday, We Offer You
- Benefits such as pension, health insurance, inclusive support for new parents and generous vacation.
- Opportunity to join an Employee Share Plan on top of your annual base salary.
- Growth and progression opportunities – we want you to grow with us.
- Flexible remote work.
- Strong social culture with many 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.
Our offices are not just workplaces. They are welcoming spaces where Plandayers can be themselves and receive support for their true selves. We firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture, and we value the strength that diverse backgrounds bring. As an equal opportunity employer, we strive to create an equitable experience for all our candidates throughout the process. All applicants will be considered for employment without attention to any personal characteristics.
Senior Data Analyst in London employer: Planday group
Planday is an exceptional employer that prioritises employee growth and well-being, offering a supportive work culture in the heart of Copenhagen. With benefits like flexible remote work, generous vacation, and an Employee Share Plan, we empower our team to thrive both personally and professionally. Our commitment to diversity and inclusion fosters a vibrant workplace where every individual can contribute meaningfully to improving the lives of shift workers globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Planday group.
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We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Planday group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Planday group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Planday group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Planday group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
