Data Analyst

Storytelling is at the heart of what we do at Rock Steady. We are building a forward-looking media and entertainment business where creativity, technology and audience understanding come together to bring stories to life. Our teams work across a dynamic global media landscape, creating content and experiences for audiences with varied interests and perspectives. We value bold thinking, purposeful collaboration and a commitment to delivering work that earns the trust of our colleagues, partners and audiences.

Rock Steady is a next-generation media and entertainment company with a focus on creating and sharing compelling content and experiences. We are creator-first, audience-focused and technology-minded, bringing together talented people who want to help shape the future of the industry. Our work is informed by a deep connection with audiences and a commitment to understanding how content performs across platforms. We aim to build an environment where teams can move quickly, explore new ideas and work together to deliver meaningful results.

Rock Steady is seeking a Data Analyst to support high-quality analysis, reporting and insight across the Audiences & Data function. In this role, you will work closely with the Advanced Analytics Lead to develop and deliver statistical analysis, analytical models and insight that support commercial decision-making. You will turn business questions into structured analysis, explore multi-source datasets and communicate findings in clear, useful formats.

This position is suited to an analytical professional who enjoys investigating performance, improving the quality of data and collaborating with teams across insights, commercial and product functions.

The role is advertised as hybrid, combining remote and in-office work in accordance with current company policy and an arrangement agreed with your Line Manager. Working arrangements may be adjusted where required to meet business needs, subject to applicable law and reasonable notice.

Applicants should have experience in a data analyst, analytics or insight role and a working knowledge of SQL. You should be comfortable analysing data with Excel, Python and/or R, and have experience creating dashboards or visualisations with Power BI, Looker, Tableau or a similar tool. Familiarity with statistical methods such as regression, segmentation or factor analysis is valuable, as is experience preparing and validating data for analytical work.

Experience with survey, audience, marketing or perception data is relevant to this position. Familiarity with media, advertising, brand or marketing effectiveness analytics, as well as cloud-based data platforms, is an advantage. We are looking for someone who can approach questions methodically, explain analytical findings clearly and work effectively with colleagues who have different areas of expertise.

Own the delivery of day-to-day analysis and insight, translating business questions into structured analytical outputs. Analyse large, multi-source datasets to identify trends, patterns and performance drivers. Support the execution of advanced analytical models, including regression, segmentation and multivariate analysis, in partnership with the Advanced Analytics Lead. Prepare, clean and validate datasets used in modelling, identifying data quality concerns and inconsistencies early.

Build and maintain dashboards and reporting outputs using Power BI, Looker or comparable tools. Work with insights, commercial and product teams to understand their analytical needs, clarify objectives and provide relevant findings. Present results in a clear, practical way so stakeholders can use them to inform decisions.

This hybrid role offers a combination of remote and in-office work, arranged with your Line Manager in line with company policy. You will collaborate with experienced colleagues across audience, analytics, commercial and product teams, contributing to work that supports informed decision-making in a changing media environment. You will also have the opportunity to develop your analytical practice through exposure to varied datasets, reporting needs and statistical modelling projects.

Specific working arrangements will be discussed during the recruitment process.

Rock Steady is committed to building a workforce that reflects a wide range of perspectives, backgrounds and experiences. Qualified candidates are considered on…