Head of Analytics

Ovoko is one of the fastest-growing e-commerce startups in Europe. We represent 4000+ scrapyard owners, car parts sellers and auto dismantlers, offering them an efficient and convenient way to serve an international audience. In our mission to make the internet a better place for the automotive aftermarket, we actively search for new ways to elevate the online experience for our partners and customers alike. This attitude drives a growing demand for talented and ambitious professionals who would help us tackle every new challenge with confidence.

ABOUT THE ROLE

Fueled by a recent €20M Series B funding round and consistent triple-digit year-over-year growth, Ovoko is gearing up to redefine its approach to Data & Analytics. To lead this charge, we’ve brought on a new VP of Data with an impressive track record at Typeform, Preply, and Adobe. With a vision to scale our team, infrastructure, and processes, we’re entering an exciting new phase of growth. As part of this journey, we’re doubling the size of our data team and are actively hiring for a variety of key roles, including senior management, data engineering, analytics engineering, and analytics specialists across marketing, product, business strategy, and operations.

We are now looking for a Head of Analytics to drive strategy, execution, and team leadership. This person will be responsible for shaping our analytics vision, ensuring data insights translate into business impact, and building a best-in-class analytics team.

If you're ready to make an impact and lead the analytics function of one of Europe’s fastest-growing e-commerce startups, we’d love to hear from you!

IN THIS ROLE, YOU WILL

• Develop and execute the analytics strategy, ensuring alignment with business goals and data maturity initiatives;
• Lead, mentor, and grow a team of data analysts and analytics engineers, fostering a data-driven culture across the company;
• Own the KPIs and reporting frameworks, ensuring clarity, consistency, and impact across all business units;
• Partner with cross-functional stakeholders in marketing, product, operations, and beyond to provide data-driven insights and strategic recommendations;
• Oversee the development of scalable analytics solutions, leveraging business intelligence (BI) tools and best practices to enhance data accessibility;
• Champion the adoption of self-service analytics, empowering teams with well-structured data models and training on data literacy;
• Drive experimentation frameworks, ensuring A/B tests and other methodologies provide clear, actionable outcomes;
• Collaborate with Data Engineering and Infrastructure teams to ensure the data pipelines and underlying infrastructure support your team’s initiatives and the business's;
• Ensure data quality and governance, promoting a standardized approach to reporting, metric definitions, and attribution modeling;
• Stay ahead of industry trends and continuously improve Ovoko’s analytics capabilities by exploring new tools, methodologies, and best practices.

WHAT WE ARE LOOKING FOR

• 8+ years of experience in analytics, with at least 5 years in a management role, preferably in a fast-growing tech business;
• Experience leading cross-functional analytics teams, driving impact through data insights;
• Proven ability to define and implement KPIs and data-driven decision-making frameworks at an organizational level;
• Strong analytical mindset with expertise in Data Modeling, SQL, data visualization, and business intelligence tools (Looker preferred);
• Proficiency in A/B testing methodologies, statistical analysis, and customer behavior analytics;
• Deep understanding of marketing, product, and operational analytics, including attribution modeling and user segmentation;
• Excellent communication and stakeholder management skills, with the ability to translate data into actionable insights for technical and non-technical audiences;
• Business-driven mindset, curiosity, and problem-solving skills.

NICE TO HAVE

• Familiarity with data engineering concepts, including data pipelines, ETL, and data warehousing;
• Knowledge of Python, R, or similar programming languages;
• Understanding of predictive analytics, machine learning, and ML Ops;
• Knowledge of data governance, security, and compliance best practices;
• Experience in data warehousing and semantic layers.