We are seeking a dynamic and experienced Manager of Data Analytics to join our Engineering team.About MediavineMediavine is a fast-growing advertising management company representing over 10,000 websites in the food, lifestyle, DIY, and entertainment space.

Founded by content creators, for content creators, Mediavine is a Top 20 Comscore property, exclusively reaching over 125 million monthly unique visitors.

With best-in-class technology and a commitment to traffic quality and brand safety, we ensure optimal performance for our creators.Mission & CultureWe are striving to build an inclusive and diverse team of highly talented individuals that reflect the industries we serve and the world we live in.

The unique experiences and perspectives of our team members is encouraged and valued.

If you are talented, driven, enjoy the pace of a start-up like environment, let’s talk!

Position Title & Overview:The ideal candidate will have a strong data analytics background and outstanding business acumen.

This role will involve leading data analytics activities to extract insights from large datasets, develop predictive models, and drive data-driven decision-making across the organization.

The person in this role will also manage a small team of Data Analysts and report directly to the Director of Data & Analytics.The Data & Analytics team consists of data analysts, data engineers and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions with data here at Mediavine.

We partner with Product, Support, Ad Operations and other teams within the Engineering department to understand behavior, develop accurate predictors and build solutions that provide the best internal and external experience possible.Essential Responsibilities: Lead and mentor a high-performing team of data analysts, fostering a collaborative and innovative environment Develop and maintain advanced analytics and reporting frameworks to provide actionable insights to stakeholders Collaborate with cross-functional teams, including revenue, finance, marketing, product, and engineering, to define and prioritize data science initiatives Present findings and insights to stakeholders, translating complex data into clear and actionable recommendations Stay current with the latest developments in data science, machine learning, and the AdTech industry to continuously improve our capabilities and inform strategic decisions Ensure compliance with data privacy regulations and maintain the highest data integrity and security standards Collaborate with data engineering leadership to enable accurate, timely, and actionable data foundations for analytics projects  Work with project and product management teams to set measurable KPIs at the project and product level Availability to travel to on-site locations for team retreats, leadership meetings and the annual all hands events approximately 15% of the time