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Job Title: Principal Data Insights Analyst
Level: 6
Reports to: Director, Advanced Analytics & Data Insights
Virgin Media O2 is a leading telecommunications and entertainment company in the United Kingdom. We offer broadband, TV, mobile, and landline services to millions of customers nationwide. Our mission is to deliver innovative and reliable solutions that enrich the lives of our customers and communities.
The Principal Data Insights Analyst is a pivotal Level 6 role within our Data Democratisation programme. We are looking for a seasoned, hands-on expert who can hit the floor running and deliver immediate value to our business and our customers. This individual will act as the organisation's lead "data detective" and analytics strategist, personally tackling our most challenging analytical problems to drive company growth and customer success.
As a thought partner to senior leadership, you will proactively identify our most critical strategic opportunities and risks through deep, sophisticated data analysis. This is a role for a master practitioner and team player who can connect opportunities across the business and translate complex data into clear, actionable strategies that shape executive-level decisions, all while operating with a deeply Agile mentality.
· Hands-on Strategic Analysis: Personally lead and execute the most strategically important analyses for the company. This involves hands-on work with complex, cross-domain data, advanced predictive modelling, and machine learning techniques using Python, R, and our full analytical toolkit.
· Agile & Value-Focused Delivery: Operate with a deeply Agile mentality, prioritising work that delivers the most significant and immediate value to the business and our customers. Work within an Agile framework to deliver insights iteratively, ensuring a constant flow of value and rapid response to changing business needs.
· Cross-Functional Opportunity Identification: Act as a key connector across the organisation, helping our teams to identify and capitalise on opportunities that span multiple business domains. Use your unique, enterprise-wide view to find patterns and create cross-functional value that might be missed by individual teams.
· Champion AI for Scalable Insights: Drive the strategy for leveraging AI capabilities within the Data Democratisation toolkit to accelerate insights and improve scalability. You will champion and lead the adoption of features like Tableau Pulse, Tableau Einstein, BigQuery's AI capabilities, and Atlan AI, ensuring our teams can deliver faster, better insights with our existing resources.
· Centre for Enablement (C4E) Leadership: Act as a designated leader within our C4E for the advanced analytics discipline. Define the best practices, tools, and methodologies that will elevate the entire insights capability at VMO2.
· High-Level Mentorship: Act as the ultimate analytical authority and mentor for the senior analysts and key stakeholders across the business. Cultivate a culture of deep, proactive, and value-focused analysis through hands-on guidance, coaching, and sharing of expertise.
· Technical Skills: Mastery of advanced analytical and statistical techniques, with deep, hands-on expertise across our full analytical toolkit: expert-level SQL (BigQuery), Python, and/or R.
· Strategic Thinking & Business Acumen: Exceptional ability to understand and translate high-level business strategy into a clear, hands-on analytical research agenda. A strong commercial mindset, with a proven ability to connect analytical work directly to metrics that drive company growth and customer success.
· Leadership & Soft Skills: A core team player, with a natural ability to collaborate and build trust across multiple teams and functions. Outstanding ability to communicate complex analytical findings in a simple, compelling way to senior executive audiences.
A typical day for the Principal Data Insights Analyst is a blend of hands-on analysis, strategic thinking, and collaboration:
· Morning (Connect & Strategise): You might start by reviewing key VMO2 performance metrics to spot anomalies or trends. This is followed by an Agile stand-up with a virtual team you're guiding on a cross-functional analysis, helping them unblock a technical challenge. You then join a strategy session with the Head of Data (Commercial) to help shape their quarterly priorities based on an insight you uncovered last week.
· Mid-day (Deep, Hands-on Analysis): This is your protected time for deep work. You could be building a predictive churn model in a Python notebook, exploring customer behaviour patterns using advanced SQL in BigQuery, or using Tableau's R integration to visualise the output of a complex statistical test.
· Afternoon (Influence & Mentor): You might present the findings of your churn model to the Commercial Director, providing a clear, actionable recommendation. Afterwards, you could run a C4E session on "Applied AI for Analysts," sharing best practices on using BigQuery AI with other analysts and helping a senior analyst from another team with their project.
· First 30 Days (Learn & Connect): Immerse yourself in the VMO2 data ecosystem. Build relationships with key Heads of Data and Technical Leads. Use Atlan to understand our key Business Layers. Identify a high-impact, short-term analytical project that can deliver immediate value.
· Next 30 Days (Deliver & Influence): Deliver the findings from your first project, demonstrating a clear link to customer success or company growth. Begin to proactively identify new opportunities and use your findings to influence the backlogs of relevant squads.
· First 90 Days (Strategise & Scale): Based on your initial learnings, draft a high-level strategic roadmap for Advanced Analytics at VMO2. Present this vision to the Data Democratisation SLT and begin to establish yourself as the go-to expert for complex, data-driven problem-solving.
Your success will be measured by your direct impact on our core strategic objectives:
· Forge Strategic Partnerships & Drive Customer Value: The insights you generate will be the foundation for new strategic initiatives and will directly contribute to improving customer success metrics.
· Design and Develop Engaging Data Products: Your proactive analysis will be the primary source of new, high-value ideas for our data product backlogs, directly influencing the "48 new Strategic Data Democratisation Products" measure.
· Increase Data Literacy, Awareness, Adoption, & Engagement: By mentoring others and leading C4E initiatives, you will directly contribute to increasing our overall "Data Democratisation Maturity" score.
hackajob is partnering with Virgin Media O2 X giffgaff to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.