Data Science and analytics Lead

Our client are a leading user-generated video marketplace, helping creators monetise their content while supplying video to publishers, broadcasters, brands and digital platforms worldwide.

As demand for high-quality AI training data accelerates, they’re uniquely positioned to turn their extensive video library into valuable datasets, metadata and insights, and they need someone who can get more value out of the data they already hold.

This is a hands-on role. There is no analytics team to hand work off to, you are the data function. You’ll take a business question, find the relevant data, run the analysis, build the model or the dashboard, and explain the answer to the people who need it.

We’re looking for someone with strong, recent hands-on experience in analytics and data science who’s ready to take greater ownership. If you’ve moved away from writing R and SQL yourself, or you’d rather advise than build, this isn’t the right fit.

The opportunity

You’ll own the day-to-day development and delivery of the data, analytics and reporting capability across the business.

Working with Commercial, Finance, Operations, Marketing and Technology, you’ll answer the questions that matter commercially, improve the quality and reliability of the data underneath them, and build the reporting and models that turn a growing video library into decisions people actually make. The stack is Snowflake, Matillion, Tableau, R and Python, and you’ll work across all of it.

It’s an ideal next step for a Senior Data Analyst, Data Scientist or Analytics Lead who wants to become the senior data and analytics specialist in the business and grow into a leadership role.

What you’ll be doing

Analysis & data science

• Work directly with stakeholders to understand business challenges, challenging assumptions and digging into the underlying drivers behind these
• Analyse large, complex datasets to identify trends, patterns, opportunities and issues
• Apply statistical and mathematical techniques to investigate business problems and support decision-making
• Build predictive models, algorithms and machine learning solutions where they add value

Reporting & visualisation

• Develop and maintain Tableau dashboards and reporting that communicate findings, and help stakeholders act on them
• Make sure reporting is accurate, consistent and based on data people can trust

Data engineering & infrastructure

• Develop and maintain data pipelines in Matillion
• Work in Snowflake to structure, transform and manage analytical data
• Design data models, schemas and transformations that support analytics and reporting
• Automate repetitive data and reporting processes

• Proven experience in data analytics, data science, and statistics or business intelligence
• Strong track record of using data to answer business questions and generate actionable insight
• Advanced hands-on experience with R, or a similar statistical programming language
• Strong SQL and experience working with data warehouses
• Experience building dashboards and reporting, ideally in Tableau
• Experience using Python for scripting, automation or deployment
• Comfortable working with large and complex datasets
• Able to explain analytical findings clearly to non-technical stakeholders
• A practical, curious and commercially-minded approach to problem-solving

Experience with machine learning, Snowflake, Matillion or other ETL tools, modern cloud data stacks, or large-scale video and unstructured datasets would all be useful, but none of it is essential.

• Hands-on work with a substantial and constantly growing dataset facing out to an exciting AI marketplace
• The chance to develop sophisticated analytics across video, content, AI customers and commercial performance
• Real scope to build data science and machine learning solutions with commercial impact
• Close working relationships across all levels of the business, and analysis that visibly influences decisions
• Ownership of the data and analytics capability, with room to grow into a leadership role

Our client offer a competitive salary, hybrid working and a comprehensive benefits package.