Analyst Data Analytics

Overview

In this role you turn complex colleague data into clear insights and strategic recommendations to empower leaders. You’ll work on enterprise-wide datasets, executive reporting, dashboards, and cross-functional initiatives, supporting an analytical Centre of Excellence for Colleague Services. You’ll partner with teams to translate business questions into data-driven solutions and tell compelling stories to diverse audiences. This is a chance to shape how data informs people decisions at scale within Amex.

Responsibilities

• Gather, validate, and prepare data from multiple sources with quality checks
• Analyze complex datasets to identify patterns and opportunities and propose actionable recommendations
• Develop and maintain dashboards and visualisations for leaders and stakeholders
• Translate analytical findings into clear narratives for executives and non-technical audiences
• Partner with cross-functional teams to define requirements and deliver practical data solutions
• Support Blue Box-wide data requests and strategic initiatives requiring colleague data
• Contribute to Colleague Data Office’s Centre of Excellence with reusable methods
• Support ad hoc analyses and projects with flexibility and sound judgement
• Apply controls when handling sensitive colleague data

Key requirements

• Quantitative analysis, statistical methods or data visualization experience in a complex organisation
• Proficiency in SQL, Python, R or equivalent tools
• Experience extracting data from enterprise data platforms; familiarity with LUMI essential
• Understanding of distributions, regression, confidence intervals, hypothesis testing
• Experience creating reports, dashboards or visualisations (Tableau, Power BI)
• Experience in People Analytics or HR data preferred
• Strong analytical curiosity, attention to detail
• Ability to manage multiple priorities in a fast-paced environment
• Strong written and verbal communication for data storytelling
• Collaborative mindset and cross-functional relationship building

• analytical curiosity
• attention to detail
• strong communication
• SQL
• Python
• R

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