Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into actionable insights for marketing and sales success.
- Company: Join a forward-thinking team focused on data-driven decision-making.
- Benefits: Enjoy a competitive salary and the chance to influence strategy directly.
- Why this job: Make an impact with your analytical skills in a dynamic environment.
- Qualifications: Bachelor’s degree in a relevant field and proven experience as a Data Analyst.
- Other info: Opportunity to work with cutting-edge tools like Power BI and SQL.
The predicted salary is between 44000 - 66000 £ per year.
Location: Hampshire
Salary: c£55,000
Job Type: Full-time
Are you a data-driven professional with a passion for uncovering insights that drive marketing and sales success? Our client is looking for an experienced Data Analyst to join their team and play a pivotal role in transforming complex data into actionable business intelligence.
As a Data Analyst, you’ll support Sales and Marketing functions by developing compelling Power BI dashboards, analysing customer and market data, and providing data-driven recommendations that shape strategic decisions.
Key Responsibilities- Build and maintain informative Power BI dashboards and visualisations.
- Analyse customer, market, and competitor data to uncover trends and insights.
- Deliver business performance and competitive landscape reports for the Marketing team.
- Extract and interpret data from complex relational databases using SQL.
- Use statistical tools to identify trends and patterns for both diagnostic and predictive purposes.
- Collaborate with marketing to optimise lead generation, customer acquisition, and retention strategies.
- Monitor, evaluate, and forecast marketing and sales performance using data analytics.
- Design and implement A/B tests to improve campaign effectiveness.
- Work closely with stakeholders to understand data needs and deliver tailored insights.
- Keep up to date with the latest tools, trends, and techniques in marketing analytics.
- A Bachelor’s degree in Marketing, Statistics, Mathematics, Business Analytics, or a related field (or equivalent work experience).
- Proven experience as a Data Analyst, preferably within a marketing context.
- Strong proficiency in Power BI (or similar tools like Tableau).
- Ability to query relational databases using SQL.
- Highly analytical with strong attention to detail and accuracy.
- Excellent communication skills, both written and verbal.
- Ability to work both independently and collaboratively with cross-functional teams.
- Experience using Python for data analysis and statistics.
- Familiarity with digital marketing tools and techniques.
- Experience working in a data analytics role within a marketing department.
This is a fantastic opportunity to join a forward-thinking team where your insights will directly influence commercial and marketing strategy. If you're ready to make an impact with data, we’d love to hear from you.
Contact Detail:
Eutopia Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Sales & Marketing)
✨Tip Number 1
Familiarise yourself with Power BI and SQL before your interview. Being able to discuss specific projects where you've used these tools will demonstrate your hands-on experience and make you stand out.
✨Tip Number 2
Prepare examples of how you've used data to drive marketing decisions in the past. Highlighting your ability to turn insights into actionable strategies will show that you understand the role's impact on business outcomes.
✨Tip Number 3
Stay updated on the latest trends in marketing analytics. Being able to discuss current tools and techniques during your conversation will showcase your commitment to continuous learning and relevance in the field.
✨Tip Number 4
Network with professionals in the data analytics and marketing fields. Engaging with others can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Analyst (Sales & Marketing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly within sales and marketing. Emphasise your proficiency in Power BI and SQL, as well as any experience with A/B testing or digital marketing tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making. Mention specific examples of how you've used data to influence marketing strategies or improve sales performance in previous roles.
Showcase Your Analytical Skills: Provide concrete examples of projects where you analysed customer or market data. Highlight the tools you used, such as Power BI or SQL, and the insights you derived that led to actionable business decisions.
Prepare for Potential Assessments: Be ready to demonstrate your analytical skills through practical assessments or case studies during the interview process. Brush up on your SQL querying abilities and be prepared to discuss how you would approach data analysis for their specific needs.
How to prepare for a job interview at Eutopia Solutions
✨Showcase Your Power BI Skills
Since the role heavily involves creating Power BI dashboards, be prepared to discuss your experience with this tool. Bring examples of dashboards you've built and explain how they helped drive business decisions.
✨Demonstrate Analytical Thinking
Be ready to talk about specific instances where you've analysed data to uncover trends or insights. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your analytical skills.
✨Prepare for Technical Questions
Expect questions related to SQL and data extraction techniques. Brush up on your SQL knowledge and be prepared to solve a problem or write a query during the interview to demonstrate your technical proficiency.
✨Communicate Clearly
As a Data Analyst, you'll need to convey complex information simply. Practice explaining your past projects and findings in a way that non-technical stakeholders can understand, showcasing your communication skills.
