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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.
- Other info: Clear progression opportunities into senior analytics roles.
- Why this job: Join a fast-paced environment where your data skills directly impact business success.
- Qualifications: Strong SQL skills, experience with BI tools, and a background in data analysis.
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 insight's 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 SQL Python Tableau in Reading employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst SQL Python Tableau 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 SQL, Python, and Tableau. 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. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst SQL Python Tableau in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your SQL, Python, and Tableau skills, and any relevant experience in marketing or data analysis. 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 background aligns with our needs. Let us know what excites you about working in a fast-paced, client-facing environment.
Showcase Your Projects: If you've worked on any projects that involved analysing campaign performance or translating data into insights, make sure to mention them. We love seeing real-world examples of your skills in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Oscar
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data and generate insights. This will show that you can hit the ground running!
✨Understand the Marketing Landscape
Since this role is within a marketing agency, it’s crucial to understand how data impacts marketing campaigns. Familiarise yourself with common metrics and KPIs used in marketing, and be prepared to discuss how you’ve used data to improve campaign performance in the past.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to translate complex data into actionable insights.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated data findings into clear insights for non-technical stakeholders.