ICT Associate

This team is part of the Foundational Data function, where you will transform complex data and market information into clear, reliable, and actionable insights for clients worldwide. You will work with diverse data sources, support research and validation activities, and help create the strong data foundations needed for high-quality client solutions. You will join a collaborative, international team focused on learning, problem-solving and building scalable data capabilities. Extract, clean, organise, and analyse structured and unstructured data using Excel, SQL, and other relevant data tools.
· Use Python or R, where applicable, for data analysis, automation, validation, and repeatable reporting workflows.
· Work with large and complex datasets, including web-scraped, digital behavioural, website, database, and third-party source data.
· Apply rigorous data quality, validation, and governance standards to ensure accuracy, consistency, and transparency of outputs.
· Create clear dashboards, visualisations, reports, and presentations using appropriate analytics and business intelligence tools.
· Support data preparation, transformation, and governance activities aligned with project methods, frameworks, and delivery standards.
· Maintain organised project files, document assumptions and methodology, and use version control or structured documentation practices where required.
· Collaborate with global analyst, data, research, and client-facing teams to deliver high-quality output on time.
· Continuously build capability in data analytics, automation, visualisation, and emerging data science techniques as the role evolves.
· Working knowledge of SQL for extracting, joining, filtering, and validating data from multiple sources.
· Working knowledge of Python or R for data analysis, automation, and reporting.
· Strong understanding of data analysis techniques, data validation, and data quality management.
· Experience working with large and complex datasets such as web scraped data or digital behavioural data.
· Ability to build meaningful visualizations, dashboards, and reports using industry-standard tools such as Power BI and Tableau.
· Strong analytical and problem-solving skills with the ability to derive actionable business insights from data.
· Understanding of data structures, data pipelines, ETL processes, and data governance principles.
· Experience using version control tools (e.g., Git) and applying good coding and documentation practices.
· AI literacy, including effective use of AI tools, prompt engineering, automation, and agent-based workflows to enhance research, analysis, and operational efficiency. Bachelor's or Master's degree in Statistics, Data Analytics, Econometrics, Mathematics, Computer Science, Economics, or a related quantitative field.
· 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 salaries, healthcare insurance, food vouchers, saving fund, plus generous holiday allowances and in many offices a Core Hours policy allowing flexible start and finish times to each day.

we offer
extensive training and development opportunities at all levels. LI-TM1 #LI-HYBRID