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Data Analytics Analyst
American Express. Gather, validate, clean and prepare data from multiple sources, applying appropriate quality checks before conducting exploratory analysis.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analysis, statistical methods, and data visualization to derive actionable insights from complex datasets. Proficient in SQL, Python, and R, with a strong focus on developing high-quality dashboards and reports for data-driven decision-making.
Highest-signal resume keywords
SQL ProficiencyData Visualization Using TableauStatistical Analysis ExpertisePeople Analytics ExperienceData Storytelling Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative AnalysisStatistical MethodsData ManipulationData InterpretationDashboard DevelopmentExploratory AnalysisData Quality ChecksStatistical SignificanceHypothesis TestingRegression Analysis
Soft Skills
Analytical CuriosityAttention to DetailCollaborationCommunication SkillsAdaptability
Tools & Technologies
PythonRSQLTableauPower BILUMI
Industry Keywords
People AnalyticsHR DataData-Driven SolutionsCross-Functional CollaborationData Insights
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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; the company will not pursue visa sponsorship for this position.
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities