Data Analyst

Ofcom

Data Analyst role at Ofcom providing insights and analysis on UK communications market data. Leading projects to enhance data accessibility for better decision-making.

Posted 7/29/2026full-timeManchester • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large and complex datasets using statistical methods and AI tools to generate actionable insights. Proficient in delivering high-quality visualizations and reports that cater to both technical and non-technical audiences.

Highest-signal resume keywords

Data AnalysisStatistical MethodsAI And Machine Learning ToolsPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Validation TechniquesReproducible Analytical MethodologiesRegression AnalysisForecastingHypothesis TestingClusteringPredictive ModellingDashboard DesignData VisualizationQuality Assurance Processes

Soft Skills

Attention To DetailCommunication

Tools & Technologies

Power BIAzure DatabricksCloud-Based Data Platforms

Industry Keywords

Governance ProcessesStakeholder EngagementProject ManagementResearch And Insights

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Lead on helping colleagues in R&I access tools to explore that data to generate insights.
Lead on transforming the way that we publish data alongside our research such that it is more easily accessible and picked up more easily by AI tools.
Present analysis in a concise, clear, and easily accessible way using graphs, charts, well-written text, interactive reports and presentations.
Engage with project teams to determine their analysis requirements.
Conduct project management tasks, including ensuring the timely delivery of work, organising meetings with stakeholders and supporting governance processes at Ofcom.

Requirements

What you’ll need

Experience analysing large, complex and/or unstructured datasets, applying robust quality assurance processes, data validation techniques and reproducible analytical methodologies.
Demonstrable experience using statistical methods (e.g. regression analysis, forecasting, hypothesis testing, clustering or predictive modelling) to generate business insights and support decision-making.
Practical experience using AI and machine learning tools to explore data, identify patterns and enhance analytical outcomes.
Experience using additional analytical and visualisation tools such as Python, SQL, R, Power BI, Azure Databricks or equivalent platforms.
Experience designing and delivering dashboards, reports and visualisations that translate complex data into clear, actionable insights for technical and non-technical audiences.
Experience working with cloud-based data platforms and large-scale data environments.
Strong attention to detail with a proven track record of delivering accurate, high-quality analytical outputs.

Benefits

Comp & perks

Flexibility is at the heart of how we work because we want you to thrive in a way that suits you best. Most roles can therefore be adapted for part ‑ time hours, job shares, or other flexible arrangements.
Wellbeing programs
Health insurance