VodafoneThree – Analytics & Reporting Lead

Overview

In this role you will transform complex data into actionable insights to drive strategic decisions. You’ll work with Finance Operations, commercial teams and senior leadership to uncover opportunities and anticipate challenges. You will design automated reporting solutions and use data to understand customer behaviour, market dynamics and performance. You’ll present clear narratives to stakeholders and collaborate across teams to improve value and governance. This is a high-impact role at VodafoneThree, helping to shape a more connected nation.

Pay / Benefits

• bonus scheme
• up to 28 days off plus bank holidays
• pension plan
• discounts and vouchers
• learning tools
• parential leave policies

Responsibilities

• Develop forward-looking insights explaining customer, market, and portfolio performance to support decisions
• Create analyses that identify opportunities, risks, and trends across the customer base
• Design and deliver automated reporting solutions using Qlik
• Synthesize internal and external data to deepen understanding of customer behaviours and commercial performance
• Translate complex data into clear narratives so stakeholders can act
• Collaborate with Commercial Managers, Analysts, and Finance Operations to drive measurable outcomes
• Develop customer segmentation and profiling to boost innovation and retention
• Support forecasting, planning, and performance management with evidence-based recommendations
• Monitor market intelligence to anticipate shifts in behaviour, risk, and value
• Deliver high-impact presentations for senior leadership and support long-term planning
• Share best practices with data, analytics, and reporting teams and maintain data foundations
• Support analytics strategy, roadmaps, tooling evolution, and continuous improvement
• Coach and develop analysts to foster an inclusive, capable team
• Maintain high standards of governance, data quality, and analytical rigour

Key requirements

• Extensive experience in analytics, customer insight, market intelligence, or related environments
• Ability to convert analytical findings into commercial opportunities and strategy
• Proven storytelling skills to present complex data to diverse audiences
• Experience using data to influence decisions and shape strategy
• Understanding of customer behaviour, lifecycle value, and performance drivers
• Curiosity and ability to manage multiple priorities
• Proficiency in SQL and SAS for statistical analysis
• Experience with Python for analytics or ML applications
• Familiarity with data visualization tools like Qlik, Power BI, or Tableau
• Experience with large datasets delivering customer, operational, or commercial insights
• Strong data validation and analytical judgement

• curiosity
• ability to tell compelling stories
• strategic thinking
• SQL
• SAS
• Python

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