At a Glance
- Tasks: Transform data into actionable insights and drive business growth through analytics.
- Company: Join Snowflake, a fast-growing tech company revolutionising the B2B analytics space.
- Benefits: Competitive salary, innovative work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on AI-driven innovation and global collaboration.
- Why this job: Be a strategic partner and influence key business decisions with your analytical skills.
- Qualifications: 6+ years in Analytics/BI, strong SQL and Python skills, and experience with B2B GTM tech.
The predicted salary is between 60000 - 80000 £ per year.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. Your role isn't just to execute a function, but to help redefine the future of how work gets done.
Our Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to monitor health of business through metrics analysis. Examples of deliverables include building new assets, QBR, performance and ROI analysis and deep dive. You'll be part of a global team transforming GTM data into actionable intelligence, driving real-time ROI optimization across international markets. This role combines technical expertise with strategic leadership to deliver impactful insights that directly influence our go-to-market strategy and business growth. Working with stakeholders in EMEA, you'll champion data-driven decision making and advance our mission of revolutionizing B2B GTM analytics practices.
IN THIS ROLE YOU WILL:
- Be a Strategic Partner to Leadership: Partner with GTM executives to align analytics initiatives with global business objectives — driving QBRs, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it.
- Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI — presenting complex analytical findings to executive stakeholders with clarity and impact. You measure success by decisions changed, not dashboards shipped.
- Bridge Business and Technical Worlds: Collaborate across Sales, Operations, Finance, and Strategy teams to translate complex business questions into scalable analytical solutions — and communicate findings back in ways that drive alignment and action.
- Master the Analytical Foundation: Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and BI teams to ensure insights are accurately surfaced — and step in hands-on-keys when needed to build, debug, or extend models.
- Amplify Reach with AI & Automation: Drive AI Self-Service & Productivity by enabling stakeholders to query complex marketing and pipeline data using natural-language, AI-driven interfaces (semantic models, text-to-SQL, Cortex Analyst) — reducing reliance on manual ad-hoc reporting and letting leadership get answers faster without sacrificing rigor.
- Champion Data Quality & Governance: Ensure data integrity across source systems (Salesforce, Marketo, Snowflake) through automated testing and reconciliation. Spearhead data infrastructure improvements and best practices the team can trust at scale.
- Establish Thought Leadership: Represent the company in the business intelligence space at industry events and champion innovation across the analytics org.
OUR IDEAL CANDIDATE WILL HAVE:
- Technical Mastery: 6+ years of experience in Analytics/BI within large-cap tech companies or high-growth SaaS environments; featuring advanced SQL, hands-on dbt proficiency, and strong Python skills for data transformation, analysis, and building AI-powered data applications.
- Business Acumen & Strategic Partnership: A track record of partnering directly with GTM leadership to drive strategic decisions. You think in terms of pipeline, conversion rates, and campaign ROI — not just tables and joins.
- AI & Innovation Literacy: Experience with or strong interest in building AI-driven analytics workflows — including semantic models, text-to-SQL, Cortex Analyst, or similar natural-language data interfaces — using Python and data app frameworks like Streamlit.
- GTM Domain Expertise: Proven experience with B2B GTM technology stacks (Salesforce, Marketo/Eloqua/HubSpot) and familiarity with the data pipeline ecosystem (Airflow, dbt, Snowflake).
- Executive Presence: Comfortable presenting to, advising, and pushing back on VP+ stakeholders — with the ability to work across different cultures and time zones.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Analyst, GTM Analytics in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Snowflake!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Analyst, GTM Analytics at Snowflake.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Snowflake.
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When you find a suitable opening like Staff Analyst, GTM Analytics at Snowflake, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Analyst, GTM Analytics in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Snowflake, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Snowflake. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Snowflake
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Snowflake!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
