Senior Data Analyst
Exclaimer
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.
Not heard of us? We provide world-class email signature solutions that let organizations 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 (Massachusetts), and London / Farnborough.
Key Responsibilities
- 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 forecasting. 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 (such as Databricks, Azure Data Factory, or equivalent) to prepare, transform, and analyse data efficiently.
- Partner with Data Engineering 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.
Skills, Knowledge, and Expertise
- 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.).
At Exclaimer, we’re proud to offer a benefits package that reflects our commitment to supporting you professionally, personally, and wherever life takes you.
At Exclaimer, inclusion is more than a policy - it’s part of who we are.
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. We’re building a culture where everyone feels they belong and can thrive, and we’d love for you to be part of it. If you require any reasonable adjustments or support through the application or hiring process, please email the team in confidence via Work@Exclaimer.com to let us know.