At a Glance
- Tasks: Transform data into actionable insights and influence key business strategies.
- Company: Join a leading tech company focused on innovation and inclusivity.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Be at the forefront of data, AI, and automation in a high-impact role.
- Qualifications: 2-3 years in data analytics with strong technical skills and a passion for AI.
The predicted salary is between 55000 - 65000 € per year.
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 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 employer: Salesforce
Salesforce is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives at the intersection of data, AI, and automation. Employees in the Data Analytics Senior Analyst role benefit from extensive growth opportunities, access to cutting-edge tools, and the chance to influence strategic decisions across international markets. With a commitment to equality and a supportive environment, Salesforce empowers its team members to excel and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Senior Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analytics prowess. This is your chance to demonstrate how you turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. Think about how you can showcase your experience with SQL, Tableau, and AI tools.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Analytics Senior Analyst
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 intersection of data, AI, and automation.
Tailor Your Application:Make sure to customise your application to reflect the skills and experiences mentioned in the job description. Highlight your technical skills in SQL, Tableau, and any experience with AI tools. This shows us that you understand what we're looking for and that you're a great fit for the role.
Craft a Compelling Story:Use your written application to tell a story about your career journey. How did you get into data analytics? What challenges have you overcome? We appreciate candidates who can communicate their experiences clearly and compellingly, especially when it comes to influencing stakeholders.
Apply Through Our Website:Don't forget to submit your application through our website! It's the best way for us to receive your details and ensures that your application is considered. 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 Salesforce
✨Know Your Data Inside Out
Before the interview, dive deep into the data analytics tools and techniques mentioned in the job description. Brush up on your SQL skills and get familiar with Snowflake and Tableau. Being able to discuss specific examples of how you've used these tools will show that you're not just a theoretical candidate but someone who can hit the ground running.
✨Craft Compelling Stories with Data
Prepare to showcase your ability to turn complex data into actionable insights. Think of a few scenarios where you’ve influenced decisions through data storytelling. Practise explaining these situations clearly and concisely, as this will demonstrate your communication skills and strategic thinking.
✨Showcase Your AI and Automation Knowledge
Since the role involves applying AI and automation, be ready to discuss any relevant experience or interest you have in these areas. Familiarise yourself with LLMs and AI-assisted analytics, and think about how you could leverage these tools to improve reporting processes. This will highlight your forward-thinking approach.
✨Understand the Business Context
Research Salesforce's international business landscape and understand key metrics like ACV and OP. Be prepared to discuss how these metrics impact decision-making across different regions. This knowledge will not only impress your interviewers but also show that you’re genuinely interested in the role and its challenges.
