Data Analyst

Data Analyst

The Data Analyst will play a key role in helping understand audience behaviour, digital engagement and subscription performance through high-quality data analysis, reporting and insight.

Collaborating closely with the Audience Development, Product and wider business teams, the role will take ownership of regular and ad-hoc reporting, develop appropriate AI-enabled analytical solutions, and translate complex data into clear, actionable insights.

The role will use existing data warehouse and wider data technology stack, including Power BI Premium and leading AI and machine learning tools, to identify trends, explain changes in key performance indicators and support informed decision-making around audience growth, engagement, targeting and subscription conversion.

The successful candidate will combine strong technical capability with commercial awareness and curiosity, using data and cutting-edge technology to understand not only what is happening, but why it is happening and what actions the business can take as a result.

Key Accountabilities

• Take ownership of reporting, providing accurate and timely insight to support business decision-making.

• Develop, maintain and enhance automated reporting solutions and dashboards using Power BI.

• Build and integrate AI to enable deeper insights across our data supporting self-service data.

• Design and develop robust data models.

• Analyse customer behaviour and digital engagement to identify trends, opportunities and areas requiring further investigation.

• Monitor KPIs and proactively identify the drivers behind changes.

• Develop segmentation, cohort and funnel analysis to support improved targeting, engagement and subscription conversion.

• Translate stakeholder requirements into practical data solutions, reports and analytical outputs.

• Use web analytics and digital data sources to provide insight into user journeys, campaign performance and audience behaviour.

• Define and support web and campaign tracking requirements.

• Ensure appropriate data and analytics flows are in place and identify opportunities to improve data quality, consistency and usability.

• Undertake ad-hoc analysis using SQL and other relevant data sources.

• Maintain and continuously improve existing reports, dashboards and analytical processes.

Key Deliverables / Success Measures

Success in the role will be demonstrated through:

• Delivery of accurate, reliable and timely audience and subscription reporting.

• Development of effective and user-friendly Power BI dashboards.

• Increased automation of recurring reporting and reduced reliance on manual data processing.

• Clear identification and communication of the factors driving changes.

• Provision of meaningful insights.

• Development of effective audience segmentation, cohort and funnel analysis.

• Strong data quality and confidence in the information provided to stakeholders.

• Effective translation of complex analytical findings into clear and commercially relevant recommendations.

• Positive engagement with stakeholders and a strong understanding of their reporting and insight requirements.

• Continuous improvement of reporting, analytical processes and the wider use of data across the business.

• Proactive identification of emerging trends, risks and opportunities through data.

Person Specification

Essential Criteria

• Minimum of three years’ experience in data analytics, audience analytics, digital analytics or a closely related analytical role.

• Strong practical experience in developing solutions using Power BI, including dashboards, visualisations and data models.

• Experience building agentic data solutions on the Microsoft stack (e.g. agents developed in Microsoft Foundry or Copilot Studio that query, analyse or act on enterprise data in Microsoft Fabric and Azure).

• Familiarity with Power BI / Fabric semantic models as a governed foundation for agent access to data, including Fabric data agents or similar.

• Strong working knowledge of DAX and Power Query/M.

• Experience connecting Power BI to SQL and non-SQL data sources.

• Strong SQL capability, including experience undertaking ad-hoc analysis and data quality assessments.

• Experience using web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics or similar.

• Experience analysing digital audience behaviour, engagement and performance.

• Experience working with marketing and targeting data from social and digital platforms such as Facebook, X/Twitter and YouTube.

• Experience creating and maintaining data models within Power BI and Power BI Service.

• Experience with audience segmentation, cohort analysis, attribution and/or funnel conversion analysis.

• Understanding of campaign and web tracking requirements and the ability to communicate these effectively to development, marketing or audience teams.

• Good understanding of ETL processes, data management and relational data models.

• Strong analytical and problem-solving skills, with the ability to investigate complex issues and identify underlying causes.

• High level of accuracy, attention to detail and thoroughness.

• Strong written and verbal communication skills, with the ability to explain complex analytical information to non-technical stakeholders.

• Ability to manage multiple priorities and work independently in a fast-paced environment.

Desirable Criteria

• Degree-level qualification, ideally in a numerical, scientific, analytical or related discipline.

• Previous experience working with audience, subscription or membership data.

• Experience within media, publishing, broadcasting, digital content, subscription or another audience-led organisation.

• Experience working with large-scale behavioural or log-file datasets.

• Experience using analytics to support subscription growth, retention, engagement or digital conversion.

• Experience developing advanced segmentation or customer/audience models.