About MUBI

MUBI is a global streaming service, production company and film distributor dedicated to elevating great cinema. To make this possible, we create, curate, acquire and champion visionary films, bringing them to audiences all over the world. And we have a team of brilliant, ambitious and passionate individuals to help bring our mission to life. From London to New York, Istanbul to Paris, and Berlin to Mexico - we work together to realize MUBI’s vision.

That’s where you come in! Join our global team and help us make great cinema accessible to everyone, everywhere.

About the role

Data is central to how MUBI grows, innovates, and creates great experiences for our members. We are growing our data analytics team to continue to expand our ability to deliver high-quality insights across the business. The analytics and reporting we provide are used in a variety of contexts; such as determining which films to show on our platform, where to allocate marketing spend or identifying potential improvements to the platform .

As a Data Analyst, you will focus on delivering high-quality reporting and insights, building relationships with internal stakeholders and leveraging those insights to allow teams to enable data-driven decision making across the whole company. By combining your technical ability with domain knowledge and ability to transform data into actionable insights, you can help drive new ways of understanding our platform and audience and unlock meaningful growth. You will work closely with, and learn from, an experienced team of data engineers and scientists.

This is a great opportunity for someone with an established background in data analytics to continue to grow their skills in a supportive, data-driven environment where the work you do will have a meaningful and measurable impact on the growth of the business.

This role is based in London and requires 2-3 days at our MUBI offices in the heart of Soho.

Where you'll have impact:

• Create and maintain wide range of BI reporting

• Perform data analytics to allow us to unlock actionable insights

• Work on a large variety of projects; this could be anything from analyzing the results of an A/B test, to measuring the performance of individual film or determining how a audiences are engaging with a particular part of the website

• Help build upon our internal data-model, mapping out any new tables or pipelines that need to be built

• Collaborate with a wide variety of stakeholders across the business. This will include both technical and non-technical audiences

• Work within a technically-minded team of data analysts, scientists and engineers

• Opportunity to learn more technical data skills; building predictive models, leveraging AI, clustering & segmentation, statistical analysis, data engineering etc

What you'll bring:

• 2–3 years of professional experience in a data analytics or similar role.

• Strong SQL skills.

• Proficiency in Python is also beneficial

• Knowledge of data warehousing, ETL systems and modern equivalents like DBT

• Experience working with business intelligence software (Looker, Tableau etc.)

• Experience and interest in ML/AI is beneficial

• Proven track record of communication with internal stakeholders to drive meaningful action from data

• An ability to independently structure and formulate solutions to business problems and are able to condense and explain complex systems and ideas into simple-to-understand terms

• Adaptability and ability to quickly develop domain expertise

• A passion for cinema is a bonus, but not essential

We want to make cinema accessible to everyone. We believe people from different backgrounds bring different ideas that foster innovation and engagement, allowing us to attract great people to develop the best experience for our users.

MUBI is committed to being an Equal Opportunity Employer. That means it's our responsibility to ensure that all candidates are not discriminated against in our hiring processes and our employment decisions based on their race, color, religion, nationality or ethnic origin, age, gender identity or expression, sex, marital status, physical or mental disability, socioeconomic background, sexual orientation, family or parental status, or any other applicable characteristic.