Senior Data Analyst Farnborough, England, United Kingdom; London, England, United Kingdom

Senior Data Analyst Farnborough, England, United Kingdom; London, England, United Kingdom

Farnborough Full-Time 36000 - 60000 € / year (est.) No home office possible
E

At a Glance

  • Tasks: Lead data analysis to drive marketing insights and business decisions.
  • Company: Join Exclaimer, a global award-winning SaaS provider with a vibrant culture.
  • Benefits: Enjoy competitive pay, flexible working, generous leave, and comprehensive healthcare.
  • Other info: Inclusive workplace committed to diversity and personal growth.
  • Why this job: Make an impact by transforming data into actionable insights for top brands.
  • Qualifications: Experience in marketing analytics, SQL, and data visualisation tools required.

The predicted salary is between 36000 - 60000 € per year.

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 digital 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.

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 (such as 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.

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. 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, regardless of gender, family structure, or path to parenthood. 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 like subscriptions to Calm and Blinkist, fitness and lifestyle credits, global travel assistance and a wide range of discounts.

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.

We want everyone to feel comfortable and supported throughout the recruitment process. If you’d like to discuss any reasonable adjustments, please don’t hesitate to get in touch with our team via Work@Exclaimer.com. While most of our first‑stage interviews are held via video conference, we encourage in‑person meetings for hybrid or on‑site roles. This gives you a chance to see where you’d be working and meet the team. Rest assured, anything you choose to share with us will be treated confidentially and with respect. It will not influence our hiring decisions in any way. Our goal is to ensure a fair, accessible, and equitable recruitment experience for all.

Senior Data Analyst Farnborough, England, United Kingdom; London, England, United Kingdom employer: Exclaimer Group

Exclaimer is an exceptional employer that champions a culture of inclusivity and professional growth, making it an ideal place for a Senior Data Analyst. With competitive pay, generous benefits including flexible working options, comprehensive healthcare, and a commitment to employee wellbeing, Exclaimer supports its team members in achieving both personal and professional success. Located in Farnborough and London, employees enjoy a vibrant work environment within a globally recognised SaaS provider, contributing to innovative solutions used by prestigious clients worldwide.

E

Contact Detail:

Exclaimer Group Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst Farnborough, England, United Kingdom; London, England, United Kingdom

Tip Number 1

Network like a pro! Reach out to current employees at Exclaimer on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s a great way to get insider info and show your genuine interest in the company.

Tip Number 2

Prepare for those tricky interview questions! Think about how your skills in SQL, data visualisation, and analytics can directly benefit Exclaimer. Be ready to share specific examples of how you've used these skills in past roles to drive results.

Tip Number 3

Show off your analytical prowess! During interviews, be prepared to discuss how you would approach building data models or dashboards for Exclaimer. This not only demonstrates your technical skills but also your understanding of their business needs.

Tip Number 4

Don’t forget to follow up! After your interview, send a thank-you email to express your appreciation for the opportunity. Mention something specific from the conversation to remind them of your enthusiasm and fit for the role.

We think you need these skills to ace Senior Data Analyst Farnborough, England, United Kingdom; London, England, United Kingdom

SQL
Data Visualisation (Tableau, Power BI)
Statistical Modelling (Regression, Data Mining, Time Series, Forecasting)
Data Engineering (Azure Data Factory, Databricks)
Dashboard Creation
Experimental Design
Data Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, data visualisation tools, and any relevant marketing analytics. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data analysis and how you can contribute to our team. Don’t forget to mention any experience with SaaS or subscription-based businesses.

Showcase Your Projects:If you’ve worked on any cool data projects, make sure to include them in your application. Whether it’s a dashboard you built or a model you developed, we love seeing real examples of your work!

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to hear from you!

How to prepare for a job interview at Exclaimer Group

Know Your Data Tools

Make sure you’re well-versed in SQL and the data visualisation tools mentioned in the job description, like Power BI and Tableau. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.

Understand the Business Context

Familiarise yourself with Exclaimer’s products and how they help businesses achieve brand consistency and customer engagement. Be prepared to explain how your analytical skills can contribute to their goals and enhance their marketing strategies.

Prepare for Scenario Questions

Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly, especially when it comes to experimental design and drawing data-driven conclusions.

Showcase Your Communication Skills

Since the role involves translating complex data into clear narratives, practice explaining your past projects in a way that highlights your ability to communicate insights effectively. Think about how you can convey technical information to non-technical stakeholders.