Job Details
The role
As a Senior Data Analyst, you will play a critical role in delivering end-to-end analytics initiatives that drive tangible commercial and strategic value. You will partner closely with non-technical stakeholders across the business to translate complex requirements into scalable data solutions, while providing technical leadership, mentoring, and strong financial insight. This role requires a balance of advanced analytics capability, stakeholder influence, and the ability to lead data-driven transformation in a complex environment.
About you:
You are curious, proactive and data obsessed, someone who enjoys asking questions, taking initiative, and owning solutions from insight to impact. You’re a strong team player who thrives on collaboration and building trusted partnerships across the business.
You can tell a clear, compelling story with data, translating complex technical analysis into commercially focused insights that drive strategic decision‑making. Comfortable working in ambiguity, you balance curiosity with accountability and aren’t afraid to challenge assumptions to deliver real value.
You bring energy and positivity to your work and enjoy being part of a growing analytics team that the business actively seeks out as a partner.
What you’ll do
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
Apply fundamental and advanced analytical concepts, practices, and problem-solving techniques
Recommend and design effective data visualisations that enable stakeholders to interpret complex information and identify key insights quickly
Mentor and coach junior colleagues, supporting capability uplift, adoption of best practices, and technical skill development
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)
4+ years of professional experience in data analytics, business analytics, data science, or a related discipline
Proficiency in SQL and at least one programming language used in data science and analytics (e.g. Python, R, Scala, Spark)
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
Demonstrated experience influencing stakeholders and driving business outcomes through analytics
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
Exposure to data science and/or data engineering practices
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 Operations, Finance, Sales, and Marketing
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