At a Glance
- Tasks: Partner with leadership to drive analytics initiatives and influence business outcomes.
- Company: Dynamic tech company focused on innovation and strategic growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Join a collaborative team with a focus on data quality and innovative solutions.
- Why this job: Make a real impact by turning data into actionable insights that drive business success.
- Qualifications: 6+ years in analytics, strong communication skills, and experience with AI-driven workflows.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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 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
- Relevant
Experience: at least 6 years of experience in tech, management consulting, or investment banking in an analytical role working with data sets, deriving insights, and making strategic recommendations.
- Business Acumen & Strategic Partnership: a track record of partnering directly with leadership to drive strategic decisions.
- Executive Presence: comfortable presenting to, advising, and pushing back on VP+ stakeholders—with the ability to work across different cultures and time zones.
- AI & Innovation Literacy: experience building and working with AI‑driven workflows.
- Preferred—GTM Domain Expertise: prior experience in sales strategy, sales or business operations, or FP&A. Knowledge of Saa S business models and B2B channel structures.
- Preferred—Technical Mastery: background in Analytics, Business Intelligence, or Data Science (SQL, Python, AI‑driven development, dbt, Airflow).
- #J-18808-Ljbffr
Staff Analyst, GTM Analytics in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
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 Doist!
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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 Doist.
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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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
