Global Operations Senior Data Analyst

About the Role

The senior data analyst consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data‑driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high‑complexity analytics projects and mentors junior analysts.

• Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
• Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
• Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).
• Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
• Create clear, compelling data visualizations and narratives tailored to the target audience.
• Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
• Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.
• Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
• Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.
• Develop data products that meet the data consumer where they are in their data literacy journey (e.g., chatbot/genie for metrics questions, reusable dashboards).

• Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.
• Significant experience in analytics, reporting, or data science‑adjacent roles.
• Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).
• Experience applying intermediate statistics to business problems.
• Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.
• Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.
• Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent).
• Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
• Ability to craft effective prompts, iterate toward higher‑quality outputs, and incorporate domain context and constraints.

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers and private medical benefits.
• Wellbeing programs.
• Life assurance.
• Access to a competitive contributory pension scheme.
• Save As You Earn share option scheme.
• Travel season ticket loan.
• Electric vehicle scheme.
• Optional dental insurance.
• Maternity, paternity and shared parental leave.
• Employee assistance programme.
• Access to emergency care for the elderly and children.
• Recares days to support charities and causes.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources.
• Access to employee discount scheme via Perks at Work.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.