At a Glance
- Tasks: Transform data into actionable insights and influence international business strategies.
- Company: Join a leading tech company at the forefront of data analytics and AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with exposure to cutting-edge AI technologies and international collaboration.
- Why this job: Be a key player in shaping data-driven decisions across global markets.
- Qualifications: 2-3 years in data analytics with strong technical skills in SQL and visualisation tools.
The predicted salary is between 60000 - 75000 € per year.
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 monthly business reviews by delivering high-quality insights and visuals tailored to international leadership.
- Partner with teams to standardize definitions, metrics, and reporting frameworks for consistency across international markets and with the broader global org.
Tools & Skills You'll Use
- Strong technical skill set with advanced proficiency in SQL, visualization (Tableau), automation and scripting (Python, Airflow), and modern data platforms (Snowflake).
- Hands-on experience (or strong interest) in applying AI and automation tooling — e.g. LLMs, AI copilots, prompt-driven workflows, or agentic systems — to analytics and reporting use cases.
- In-depth knowledge of sales-related datasets and metrics, e.g. ACV, OP, pipegen, account, AOV, commit, G4G, carving, etc., ideally with exposure to international/multi-region reporting considerations.
- Experience managing datasets, building reporting layers, and delivering BI solutions that scale across geographies.
- Ability to translate business questions into structured analysis, and distill complex results into actionable insights through data.
What We're Looking For
- 2–3 years of experience in data analytics, business intelligence, or a related technical strategy role.
- Strong technical foundation with a clear interest in developing a career at the intersection of data, AI, and automation.
- Strong business acumen with a passion for data and analytics, ideally with exposure to international or multi-market businesses.
- Proven ability to work cross-functionally and influence without authority across regions and time zones.
- Detail-oriented with the ability to zoom out and think strategically.
- A "get-it-done" attitude with the curiosity to explore emerging tools (especially AI) and continuously improve how the team operates.
- Excellent communication skills and experience presenting to executives.
Data Analytics Senior Analyst in London employer: B Capital
At Salesforce, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Data Analytics Senior Analyst, you'll have the opportunity to work at the forefront of data-driven decision-making in a dynamic international environment, with access to cutting-edge tools and technologies. We offer robust career growth opportunities, a commitment to employee development, and a supportive work culture that values diversity and inclusion, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Senior Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Salesforce or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. Whether it's dashboards you've built or insights you've derived, having tangible examples can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and business intelligence. Think about how you can relate your experiences to the role at Salesforce, especially around AI and automation.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analytics Senior Analyst in London
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data analytics shine through! Share specific examples of how you've used data to drive decisions or improve processes. We love seeing candidates who are genuinely excited about the role and what they can bring to the table.
Tailor Your Application:Make sure to customise your CV and cover letter for this role. Highlight your experience with SQL, Tableau, and any AI tools you've worked with. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant experience!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. Remember, we’re looking for clarity in your communication, so make sure your insights and achievements are easy to digest!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values while you’re at it!
How to prepare for a job interview at B Capital
✨Know Your Data Inside Out
Make sure you’re well-versed in the key metrics and datasets mentioned in the job description, like ACV, OP, and G4G. Be prepared to discuss how you've used these metrics in past roles and how they can influence business decisions.
✨Showcase Your Technical Skills
Brush up on your SQL, Tableau, and Python skills before the interview. Consider preparing a mini-project or case study that demonstrates your ability to build dashboards or automate reporting processes, as this will show your hands-on experience.
✨Prepare for Strategic Storytelling
Think about how you can turn data into compelling narratives. Prepare examples of how you've influenced stakeholders with your insights in previous roles, focusing on how your recommendations led to actionable outcomes.
✨Emphasise Your Cross-Functional Experience
Be ready to discuss times when you’ve worked with different teams or regions. Highlight your ability to influence without authority and how you’ve navigated time zone challenges to deliver results, as this is crucial for the role.
