Senior Data Analyst

The Senior Data Analyst supports the delivery of custom research studies that use multiple data sources and analytical methods. Working as an individual contributor under guidance from experienced colleagues, the role contributes across data sourcing, enrichment, transformation, modelling, validation, documentation and final-output preparation. It offers structured exposure to foundational data delivery, quality assurance and cross-functional collaboration. Role context Foundational Data includes the sources and assets that underpin data solutions and analytics, such as public-domain data, proprietary data, online and digital data, clickstream, trade data, company data and other market information. Within the Data Foundations function, the Senior Data Analyst works with data, consulting, commercial, product and delivery colleagues to turn complex datasets into dependable outputs. The role supports market intelligence solutions, including industry benchmark studies and large-data assignments, while developing strong delivery judgement and technical capability. Support foundational data delivery: Contribute to custom data studies from source assessment and data preparation through enrichment, modelling, validation, documentation and final-output readiness. �
� Project Management: Lead end-to-end data delivery for data consulting and custom research projects, from data sourcing and enrichment through modelling, validation, and final client delivery. �
� Apply data methodologies: Perform data quality checks: Complete defined validation routines, reconcile anomalies, document findings and escalate material quality issues promptly. �
� Prepare and transform data: Clean, structure, combine and enrich data from multiple sources using suitable analytical tools and repeatable processes. �
� Translate data into usable outputs: Present findings clearly and accurately for technical and non-technical audiences, with support from senior colleagues where needed. �
� Support project governance: Follow established delivery toolkits, checklists, information-handling requirements and quality-governance standards throughout the project lifecycle. �
� Provide data-source observations, early analysis and practical delivery input to help senior colleagues assess feasibility, effort and risk. �
� Actively seek feedback, participate in training and knowledge sharing, and progressively take ownership of more complex data-delivery activities. Assigned data-delivery activities are completed accurately, on time and with clear documentation. �
� Data outputs meet agreed quality checks, with anomalies investigated, and material risks escalated promptly. �
� Project colleagues receive clear progress updates, dependable handovers, and practical support. �
� Technical competence and delivery ownership grow steadily through feedback, training and hands-on experience. �
� Bachelor's or Master's degree in Statistics, Data Analytics, Econometrics, Mathematics, Computer Science, Economics or a related quantitative discipline. �
� 3+ years' experience in data analysis, research, market intelligence, consulting, data operations or a similar environment. �
� Foundational ability to clean, structure, transform and validate data, with attention to accuracy and detail. �
� Basic knowledge of structured and unstructured data, quality controls, documentation and data-lineage concepts. �
� Strong SQL proficiency including complex joins, aggregations, query optimisation, and large-scale data manipulation. �
� Ability to interpret data and communicate clear findings to both technical and non-technical audiences. �
� Collaborative communication style and willingness to work across data, consulting, commercial, product and delivery teams. �
� Strong Microsoft 365 capability and advanced Excel skills, or the ability to develop these quickly. Exposure to BI tools, cloud data platforms or version-control practices. �
� Academic or practical experience with large, multi-source, market, trade, company, online or behavioural datasets. �
� Awareness of AI or GenAI-enabled data enrichment and processing in a governed business environment. �
� not only do we have a very multinational workforce in each office but we are all dealing with our 16 offices worldwide on a daily basis. We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities.

we offer
highly competitive