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- Tasks: Analyse marketing campaigns and translate data into actionable insights for clients.
- Company: Dynamic marketing agency in Reading with a focus on data-driven decision making.
- Benefits: Competitive salary, hybrid working, private healthcare, and ongoing training opportunities.
- Other info: Clear progression opportunities into senior analytics roles.
- Why this job: Join a fast-paced environment where your data skills directly impact client success.
- Qualifications: Experience in data analysis, strong SQL skills, and familiarity with BI tools like Power BI or Tableau.
The predicted salary is between 50000 - 70000 £ per year.
Location: Reading (Hybrid - 2–3 days per week in office)
I’m currently partnering with a marketing agency based in Reading that is looking to hire a Data Analyst to join their growing data and insights function. This is a key hire as the business continues to invest in its data capability, with a strong focus on improving campaign performance, client reporting, and data-driven decision making across marketing and sales activity.
You’ll play a central role in analysing campaign performance, building insightful reporting, and helping both internal teams and clients better understand what drives engagement, pipeline, and revenue. Working closely with marketing, sales, and client services teams, you’ll translate complex data into clear, actionable insights. This is a great opportunity for someone who enjoys working in a fast-paced, client-facing environment where data has a direct commercial impact.
- Analyse marketing campaign performance across multiple channels (email, digital, telemarketing)
- Translate data into actionable insights to improve campaign effectiveness and ROI
- Extract, clean, and transform data from multiple sources using SQL and Excel
- Support data quality, validation, and consistency across reporting outputs
- Collaborate with sales and marketing teams to track pipeline performance and lead generation metrics
Proven experience in a Data Analyst or BI-focused role
- Strong SQL skills and experience working with structured datasets
- Experience with BI tools such as Power BI or Tableau
- Ability to translate data into clear business insights
- Experience working with marketing, sales, or campaign data
- Experience within a marketing agency, lead generation, or B2B environment
- Exposure to CRM systems (e.g. Salesforce, HubSpot)
- Python or R
Salary: £50,000 - £70,000 (depending on experience)
Benefits:
- Hybrid working - 2-3 days per week in the Reading office
- Performance related bonus
- Private healthcare
- Pension scheme
- 25 days annual leave plus bank holidays
- Ongoing training and development opportunities
- Clear progression into Senior Data Analyst / Analytics roles
Data Analyst - Tableau, Power BI, SQL in Reading employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Tableau, Power BI, and SQL. This will give you an edge and demonstrate your ability to translate complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've improved campaign performance or client reporting in past roles. Real-life examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with SQL, Power BI, and Tableau, and don’t forget to mention any relevant marketing or campaign data experience. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills can help improve campaign performance. Keep it engaging and personal – we love a bit of personality!
Showcase Your Analytical Skills: In your application, give examples of how you've translated complex data into actionable insights in previous roles. We’re looking for someone who can make data speak, so share those success stories that demonstrate your impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oscar
✨Know Your Tools Inside Out
Make sure you’re well-versed in SQL, Power BI, and Tableau. Be ready to discuss specific projects where you've used these tools to analyse data and generate insights. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Understand the Marketing Landscape
Familiarise yourself with marketing campaign performance metrics and how they relate to business outcomes. Brush up on common terms and strategies used in marketing, as this will help you communicate effectively with the team and demonstrate your understanding of their needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice articulating your thought process clearly, showing how you would approach data cleaning, validation, and reporting. This will highlight your analytical skills and problem-solving abilities.
✨Showcase Your Collaboration Skills
Since the role involves working closely with sales and marketing teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to achieve common goals, especially in a fast-paced setting.