Data Analytics Analyst

Hybrid in BURGESS HILL +1·Added 5 days ago (last checked 23 Oct)

32 open roles

Our summary

Experienced applying quantitative analysis, statistical methods or data visualisation to solve business problems in a complex organisation.
Proficiency in manipulating, analysing and interpreting data using SQL, Python, R or equivalent analytical tools.
Experience extracting and working with data from enterprise data platforms; familiarity with LUMI is essential.
Understanding of core statistical and experimental concepts, including distributions, regression, confidence intervals, correlation, statistical significance, p-values and hypothesis testing.
Experience developing reports, dashboards or visualisations using tools such as Tableau, Power BI or equivalent technologies.
Strong analytical curiosity, attention to detail and the ability to work through ambiguous or complex business questions.
Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
Strong written and verbal communication skills, with the ability to use data storytelling to make complex findings accessible to technical and non-technical audiences.
A collaborative mindset and the ability to build effective relationships with colleagues and partners across different functions.

Employment eligibility to work with American Express in the UK is required as the company will not pursue visa sponsorship for this position.

Gather, validate, clean and prepare data from multiple sources, applying appropriate quality checks before conducting exploratory analysis.
Analyse complex colleague datasets to identify meaningful patterns, trends and opportunities, translating findings into actionable insights and recommendations.
Develop and maintain high-quality dashboards, reports and visualisations that enable leaders and stakeholders to make informed, data-driven decisions.
Translate complex analytical findings into clear, accessible and compelling stories for a broad range of audiences, including senior executives.
Partner with cross-functional teams to understand business challenges, define analytical requirements and develop practical, data-driven solutions.
Deliver analysis in response to Blue Box-wide colleague data requests and contribute to strategic initiatives requiring colleague data and insights.
Contribute to the development of Colleague Data Office's analytical Centre of Excellence by introducing innovative approaches, reusable analytical methods and more efficient ways of working.
Support ad hoc analysis and special projects, demonstrating flexibility, sound judgement and adaptability in response to evolving business priorities.
Apply appropriate controls and attention to detail when working with sensitive colleague data.