Senior Analytics Partner for Wallet & Payments Growth

Apple Inc.; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple Inc. is seeking a senior analytics professional to act as a strategic partner, translating complex business questions into structured analytical approaches and delivering data-driven insights to senior leaders across functions.

You will work end-to-end on high-impact initiatives, collaborate with data engineering for data quality, and influence decision-making with evidence-based recommendations. The role blends analytical rigor with practical business impact.

Qualifications

• Proven experience in an Analytics and Strategy role.
• Strong business acumen and the ability to think strategically and operationally.
• Be a self-starter, driven, accountable and a high-energy teammate.
• Excellent communication skills- able to distill complex analysis into simple, compelling narratives.
• Background in consulting or customer-facing, fast-paced analytical environment.
• Expertise with SQL, R or Python and data visualisation tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
• Well versed with Applied Statistical/ML techniques.

Responsibilities

• Serve as a strategic analytics partner to senior business leaders across multiple functions, driving high-impact, cross-functional initiatives from end to end.
• Translate complex business questions into structured analytical approaches and apply statistical techniques to uncover insights and opportunities.
• Collaborate closely with data engineering to ensure data quality and accessibility and deliver data-backed recommendations that influence executive decision-making.

Skills

SQL

Python

R

Tableau

Statistical ML

Analytical storytelling

Tools

Tableau

Job description

Apple Inc. is seeking a senior analytics professional to act as a strategic partner, translating complex business questions into structured analytical approaches and delivering data-driven insights to senior leaders across functions.

You will work end-to-end on high-impact initiatives, collaborate with data engineering for data quality, and influence decision-making with evidence-based recommendations. The role blends analytical rigor with practical business impact.