Lead Data Analyst - Technical Lead

Job description

Work Flexibility: Hybrid The role As a Senior Data Analyst, you will play a critical leadership role within a high‑performing data and analytics team, providing both technical expertise and project leadership across the team’s day‑to‑day portfolio. You will lead end‑to‑end analytics initiatives that contribute to organisation‑wide strategic priorities, from problem definition and requirements gathering through to deployment and value realisation. This role is suited to an established data professional who is ready to step into a senior position, someone who enjoys owning complex analytics projects, influencing stakeholders, and mentoring others to build stronger capability across the team. You will act as a trusted partner to the business, applying advanced analytics and financial insight to drive tangible commercial and strategic outcomes. About you: You are an experienced, curious and commercially minded data professional who thrives on turning ambiguity into impact. You take ownership of complex problems end to end, from shaping the question and influencing stakeholders, through to delivering insights and driving outcomes. You are a natural mentor and capability builder, passionate about developing a diverse team through coaching, knowledge sharing, and embedding best practices. You balance hands on technical leadership with empowerment, creating space for others to grow while maintaining high standards of delivery. You excel at building trusted partnerships across the business, confidently influencing stakeholders at all levels and translating complex analysis into clear, compelling stories that inform strategic decision making. Comfortable challenging assumptions, you combine curiosity with accountability to deliver meaningful value. Above all, you bring energy, humour, and positivity to your work. You actively contribute to a fun, inclusive, and dynamic culture within a high performing analytics team - one that the business values as a trusted partner and enjoys working with just as much as it respects. What you’ll do Mentor and coach junior colleagues, supporting capability uplift, adoption of best practices, and technical skill development Proactively collaborate with non-technical stakeholders to deliver end-to-end analytics initiatives, flag project risks, and deliver clear, actionable insights Translate business and stakeholder requirements into effective data analytics solutions Contribute to large-scale, cross-divisional analytics and transformation projects, managing scope, priorities, and timelines Demonstrate a commercial understanding and financial acumen by developing financial impacts for existing initiatives and evaluating new opportunities Influence decision-making and drive process improvement through data-driven insights Build and deliver high-quality presentations and communications that explain complex analyses and findings to senior leaders and non-technical audiences Recommend and design effective data visualisations that enable stakeholders to interpret complex information and identify key insights quickly Collaborate with local and global teams and external partners to leverage expertise, share knowledge, and deliver strategic value Identify opportunities where data solutions can be applied to real-world business problems and lead discussions to realise measurable benefits What you need Required: Bachelor’s degree in Data Analytics, Business Analytics, Data Science, Actuarial Studies, Computer Science, or a related technical field (or equivalent relevant experience) 5+ years of professional experience in data analytics, business analytics, data science, or a related discipline Advanced experience in SQL and at least one programming language used in data science and analytics (e.g. Python, R, Scala, Spark) Experienced in data science and data engineering practices Advanced experience with at least one business intelligence and analytics platform (e.g. Power BI or Tableau) Sound capability in data transformation, data cleansing, relational databases, and data modelling concepts Solid understanding of data governance, including documented definitions, calculations, data sources, and lineage Proven track record of delivering end-to-end data analytics projects, from problem definition through to deployment and value realisation Developed communication and presentation skills, with the ability to engage senior leaders and non-technical stakeholders Preferred: Experience working with Microsoft Fabric and/or Databricks platforms Experience working with ERP and CRM systems Experience developing solutions using the Microsoft Power Platform (e.g. Power Automate) Experience working in complex, enterprise-scale data environments Experience tracking and reporting benefits delivered from data-driven initiatives Strong background in advanced statistical reasoning, exploratory data analysis, and hypothesis-driven analysis to deliver business value Demonstrated success partnering with cross-functional teams such as Sales and Marketing Travel Percentage: None