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Analyst Data Analytics

American Express
Burgess Hill, GBR
Full-time
Mid
Hybrid
Discovered 3 days ago
SQLPythonTableauPower BICommunication

Full Job Posting

Qualifications

  • 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.
  • Experience in People Analytics or working with HR data is preferred.
  • 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.

Responsibilities

  • 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.

Preferred Qualifications

  • Experience in People Analytics or working with HR data is preferred.

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