Data Analyst

Summary

Join Planday as a Data Analyst and play a strategic role in transforming complex data into actionable insights that drive business growth. You will collaborate with cross-functional teams, crafting compelling data narratives and visualizations to guide product development and strategic decisions. Leverage advanced analytical techniques, including predictive modeling and automation, to foster a data-driven culture. This is a 7-month maternity cover role reporting to the Head of Data & Analytics. You will contribute to key projects such as Product-Market-Fit analysis and customer lifecycle insights. Success in this role involves delivering accurate data assets, providing actionable insights, and creating impactful visualizations that influence decision-making.

Requirements

• 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

Responsibilities

• 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

Benefits

• Benefits like pension, health insurance and generous vacation
• Flexible remote work