At a Glance
- Tasks: Transform complex marketing data into clear insights that drive decision-making.
- Company: Join a global marketing analytics team in a collaborative environment.
- Benefits: Enjoy 23 days holiday, private medical insurance, and a cycle to work scheme.
- Other info: Hybrid role with excellent career growth opportunities and a supportive team culture.
- Why this job: Make a real impact by turning messy data into actionable insights.
- Qualifications: Experience in marketing analytics and strong skills in Salesforce and HubSpot.
The predicted salary is between 50000 - 65000 £ per year.
The Senior Marketing Data Analyst plays a key role in the Global Marketing Analytics team, turning complex marketing, sales, and partner data into clear, defensible insights that support decision‑making across Marketing, Sales, and Revenue leadership. This is a collaborative, problem‑solving role with end‑to‑end ownership of marketing performance measurement—from data quality and funnel health, through campaign and event analysis, to attribution, pipeline impact, and executive‑level reporting. This is a hybrid opportunity with three days a week from our London office.
How You'll Work
- Proactively identify issues, patterns, and opportunities in data.
- Work comfortably with ambiguity to turn messy data into usable insight.
- Share knowledge generously and help others understand what the data means.
- Ask “why” as often as “what” and challenge assumptions with evidence.
- Care deeply about data quality, clarity, and decision impact.
Core Responsibilities – Data & Analysis
- Own global marketing funnel reporting (Lead → MQL → Opportunity → Pipeline).
- Deliver decision‑ready insights that explain what’s happening and why it matters.
- Analyse global, regional, and partner campaign performance across channels.
- Maintain marketing attribution logic across HubSpot and Salesforce, documenting assumptions and limits.
- Produce executive‑ready reporting for reviews, QBRs, and all‑hands.
- Contribute to forward‑looking analysis such as lightweight forecasting and scenario modelling.
Salesforce, HubSpot & Data Quality
- Build and maintain Salesforce reports and dashboards used globally.
- Work confidently in HubSpot to analyse campaign performance, lead behaviour, and lifecycle progression.
- Ensure alignment between HubSpot and Salesforce data and definitions.
- Identify data gaps and hygiene issues; partner with Marketing Ops, RevOps, and IT to resolve.
- Support enablement through documentation and office‑hours‑style support.
Qualifications & Experience
- Experience in marketing, revenue, or commercial analytics.
- Strong Salesforce reporting and dashboard expertise.
- Hands‑on experience with HubSpot for campaign, lead, and lifecycle analysis.
- Experience with BI tools such as Power BI or Tableau.
- Strong communication and stakeholder‑management skills; able to explain insights and limitations clearly.
- Comfort working with imperfect data and ambiguity; strong problem‑solving approach.
- Nice to have: Interest or experience in forecasting, planning, or predictive analysis.
- Nice to have: Ability to translate advanced analysis into practical recommendations.
- Nice to have: Experience working in global, multi‑region marketing organisations.
Benefits
- 23 days holiday + all public holidays, rising to 25 days after 2 years of service.
- Additional day off for your birthday.
- Private medical insurance which covers you, your cohabiting partner and children.
- Life insurance of 4 times your base salary.
- Salary sacrifice pension scheme.
- Enhanced family leave.
- Confidential Employee Assistance Program.
- Cycle to work scheme.
Senior Marketing Data Analyst employer: Dormont Manufacturing Co
As a Senior Marketing Data Analyst at our London office, you'll thrive in a dynamic and collaborative environment that values data-driven decision-making. We offer a supportive work culture with ample opportunities for professional growth, including access to advanced tools like Salesforce and HubSpot, and a commitment to employee well-being through generous benefits such as private medical insurance and enhanced family leave. Join us to make a meaningful impact on global marketing strategies while enjoying a healthy work-life balance in a vibrant city.
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We think this is how you could land Senior Marketing Data Analyst
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We think you need these skills to ace Senior Marketing Data Analyst
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!
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How to prepare for a job interview at Dormont Manufacturing Co
✨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!
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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 Dormont Manufacturing Co!
✨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.
