Senior Data Analyst

Requirements

• 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 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.
• 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 optimize data wrangling and cleaning processes across multiple, complex projects.
• Experience in designing and analyzing 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 modeling.

What the job involves

• 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 visualizations and persuasive communication, you'll ensure these insights resonate with stakeholders at all levels.
• Finally, 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.
• Collaborating cross-functionally with product, commercial, and leadership teams to define, track, and report critical metrics, delivering comprehensive customer insights.
• Designing and maintaining robust data models that transform raw data into high-value assets, ensuring accuracy and quality.
• Developing impactful, hands-on solutions, visualizations, and dashboards across the business, primarily utilizing Tableau to communicate insights effectively.
• Leveraging expert proficiency in Python, R, and SQL for advanced data manipulation, statistical analysis, and ensuring high data quality.
• Applying advanced statistical analysis techniques for summarizing, interpreting, and predicting data, alongside machine learning concepts for predictive modeling techniques.
• Translating complex data into clear, actionable narratives through compelling data storytelling, impactful presentations, and strong interpersonal communication.

Your success will show through:

• 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.