Senior Data Analyst

When you join Exclaimer you will join a global award‑winning SaaS provider with an exceptional revenue rate, ambitious growth plans, and an inclusive and outcomes‑driven culture.

We provide world‑class email signature solutions that let organisations of any size achieve brand consistency, legal compliance, and customer engagement on any device. Designed for Microsoft 365, Google Workplace, and Microsoft Exchange, our solutions are used by over 60,000 customers in 150+ countries. Some of these customers include renowned companies such as Sony, Mattel, Bank of America, NBC, the Government of Canada, the BBC, and the Academy Awards.

We have over 300 employees worldwide with our primary offices based in Boston (US) and London / Farnborough (UK).

We’re officially Great Place to Work Certified™ and recognised for our culture of collaboration, trust, and growth.

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• Lead the development of robust, scalable data models that capture the full marketing funnel – from campaign investment to revenue impact.
  
• Apply advanced statistical modelling (regression, data mining, time series, forecasting) to explore relationships between variables and forecast. Test marketing hypotheses via experimental design for validating assumptions and drawing data‑driven conclusions.
  
• Create and maintain insightful dashboards and reports using Power BI, Tableau or similar visualisation tools.
  
• Leverage SQL and modern data platforms (e.g., Databricks, Azure Data Factory, or equivalent) to prepare, transform, and analyse data efficiently.
  
• Partner with Data Engineering to develop and maintain a semantic layer that enables consistent, self‑service analytics across the organisation.
  
• Translate complex analytical findings into clear business narratives, telling the story behind the numbers in a way that drives action.
  
• Support a data‑driven culture, coaching and enabling business users to make informed decisions using trusted insights.
  

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• A background in marketing analytics, growth analytics, or commercial insights within a data‑rich environment.
  
• Deep proficiency in SQL and experience working with relational data models.
  
• Proven experience with data visualisation tools (Tableau, Power BI, or equivalent).
  
• Hands‑on experience with data engineering / orchestration tools (Azure Data Factory, Databricks, or similar).
  
• Knowledge of semantic layers and modern BI architecture.
  
• Excellent communication and stakeholder management skills, with the ability to work cross‑functionally between technical and commercial teams.
  
• Experience in a SaaS or subscription‑based business would be ideal.
  
• Familiarity with cloud data platforms (Azure, Snowflake, BigQuery, etc.).
  

Alongside competitive pay, you’ll have access to generous paid time off, flexible working options including our XFlex programme and a “work from anywhere” allowance, plus enhanced leave for all new parents. Our wellbeing offering includes comprehensive healthcare coverage, fully funded insurance and income protection, access to 24/7 virtual care, and mental health, legal and financial support through employee assistance programmes. We help you plan for the future with contributory retirement plans and savings support, and back your day‑to‑day wellbeing with perks such as subscriptions to Calm and Blinkist, fitness and lifestyle credits, global travel assistance and a wide range of discounts.

We’re proud to be an equal‑opportunity employer and welcome applications from people of all backgrounds, experiences, and identities. We consider all candidates fairly and without discrimination irrespective of ethnicity, race, religion, nationality, age, gender, marital status, disability, neurodivergence, caring responsibilities, sexual orientation, or gender identity. If you require reasonable adjustments or support through the application or hiring process, please email the team in confidence via .