Data Analytics Senior Analyst
Salesforce - United Kingdom - London
Posted Apr 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Source-linked last checked May 7, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked May 7, 2026.
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Analytics Senior Analyst United Kingdom - London About the Role The Data Foundation International Strategy team partners closely with leadership across Salesforce's high-growth international businesses - including MuleSoft and Informatica. We act as a central hub for strategic planning, business performance insights, and decision-enabling analytics across our international markets. This is a high-impact, high-visibility individual contributor role that blends strategic thinking with deep technical and analytical work. You'll be at the core of how we turn data into action across our international business - influencing sales strategy, operational efficiency, product growth, and sales motion. This role is well-suited to someone with a strong technical foundation who is excited to grow their career at the intersection of data, AI, and automation, and who wants to apply emerging tools to scale how strategy gets done. What You'll Do Act as the go-to expert on data and analytics for the International business, providing strategic recommendations and insights through compelling, data-driven storytelling to influence key stakeholders across regions Design and build executive-level dashboards and self-serve reporting tools to track KPIs across Data Foundation International, accounting for regional nuances (currency, segment, theatre-level performance) Own the end-to-end development of curated datasets and scalable reporting pipelines in Snowflake and other internal tools (Tableau Prep, Airflow) Identify opportunities to apply AI and automation - including LLM-based workflows, agentic tooling, and AI-assisted analytics - to streamline reporting, surface insights faster, and reduce manual effort in operating rhythms Enable and automate operational rhythms such as QBRs, APMs, G4G, and
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