Head of Analytics & Performance

Head of Analytics & Performance at HelloFresh. As the Head of Analytics & Performance at HelloFresh, you will play a pivotal role in shaping the data-driven strategies that influence our business decisions. This leadership position is designed for an individual who possesses a strong analytical mindset and a passion for optimizing performance across various channels. You will lead a talented team of analysts and work closely with other departments to ensure that data insights are effectively utilized to enhance customer experience and operational efficiency. Your expertise will help drive growth and innovation within the organization, making a significant impact on our overall success.

Key facts

• Location: Paris, Paris, France
• Engagement: Full-time
• Salary: Competitive, commensurate with experience
• Visa: Sponsorship available for the right candidate

What you'll do

• Lead and manage a high-performing analytics team, fostering a culture of data-driven decision-making across the organization.
• Develop and implement comprehensive analytics strategies that align with HelloFresh's business objectives, ensuring that insights are actionable and impactful.
• Collaborate with cross-functional teams, including marketing, product, and operations, to identify key performance indicators (KPIs) and metrics that drive business success.
• Oversee the collection, analysis, and interpretation of data from various sources, translating complex data sets into clear and concise reports for stakeholders.
• Utilize advanced statistical techniques and tools to conduct in-depth analyses, identifying trends and patterns that inform strategic initiatives.
• Drive the optimization of marketing campaigns through rigorous performance analysis, ensuring that resources are allocated effectively to maximize ROI.
• Establish and maintain dashboards and reporting systems that provide real-time insights into business performance, enabling swift and informed decision-making.
• Mentor and develop team members, providing guidance on best practices in analytics and performance measurement.
• Stay abreast of industry trends and emerging technologies in analytics, ensuring that HelloFresh remains at the forefront of data innovation.
• Present findings and recommendations to senior leadership, articulating the business implications of data insights and advocating for data-driven initiatives.
• Collaborate with IT and data engineering teams to enhance data infrastructure and ensure data integrity across platforms.
• Conduct regular performance reviews of analytics processes and tools, recommending improvements to enhance efficiency and effectiveness.

Requirements

• A minimum of 5 years of experience in analytics, data science, or a related field, with a proven track record of driving performance improvements.
• Strong leadership skills with experience managing and developing teams in a fast-paced environment.
• Proficiency in data analysis tools and languages such as SQL, Python, or R, as well as experience with data visualization software like Tableau or Power BI.
• Exceptional analytical and problem-solving abilities, with a keen eye for detail and a strong understanding of statistical methods.
• Experience in e-commerce or subscription-based business models is highly desirable.
• Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders effectively.
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
• A degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science is preferred.

Nice to have

• Familiarity with machine learning techniques and their application in business analytics.
• Experience with A/B testing and experimentation methodologies to optimize marketing strategies.
• Knowledge of customer segmentation and lifetime value analysis to enhance customer engagement strategies.
• Previous experience in the food or meal kit industry is a plus.

Skills & tools

• Data analysis: SQL, Python, R
• Data visualization: Tableau, Power BI
• Statistical analysis and modeling
• Project management tools: Asana, Trello, or similar
• CRM systems and marketing automation tools

Practical notes

• This role is based in Paris, and candidates must be willing to relocate if not currently residing in the area.
• The position offers a competitive salary package, which will be discussed during the interview process.
• Visa sponsorship is available for qualified candidates who require work authorization in France.