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For Companies At a Glance
- Tasks: Transform data into actionable insights and optimise marketing strategies.
- Company: Join a forward-thinking tech company focused on innovation and growth.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional development.
- Why this job: Make a real impact by blending data analysis with marketing strategy.
- Qualifications: Experience in Python, SQL, and a passion for data-driven decision making.
- Other info: Dynamic role with excellent career progression in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid / Cambridge
Salary: £50,000 + Benefits
Industry: SaaS
Type: Permanent
Are you a data‑driven problem‑solver who loves turning information into action? Do you enjoy working closely with marketing teams to improve performance, build better processes, and shape strategy? We’re looking for a Data Analyst to play a key role in driving customer demand across global marketing operations. This role blends technical capability with commercial awareness — ideal for someone who enjoys getting deep into data (Python, SQL, pipelines, segmentation) while also influencing how a business markets, targets, and grows.
The Opportunity
You’ll become the go‑to specialist for marketing data, reporting, and technology — helping the team understand their audience, optimise campaign performance, and build scalable, efficient processes. You’ll work closely with Marketing, Business Systems, Sales and external partners to ensure the entire marketing tech stack runs smoothly and supports continued growth. This is a brilliant role for someone who loves combining technical skill with business impact.
What You’ll Be Doing
- Data, Reporting & Analysis
- Build and maintain data pipelines and marketing datasets for segmentation and targeting.
- Use Python and SQL to extract, clean and analyse data from multiple systems.
- Deliver insights on customer behaviour, campaign performance, and lifecycle trends.
- Create dashboards, reports and tools to track marketing metrics and forecast performance.
- Support experimentation and A/B testing with statistically sound analysis.
- Marketing Strategy & Collaboration
- Work with marketers to design targeting models for acquisition, engagement and retention.
- Partner with Business Systems and Sales to align data infrastructure with commercial objectives.
- Develop measurement plans for each marketing channel (Google Ads, email, paid social, etc.).
- Establish best practices and SOPs for campaign execution, reporting and analytics.
- Process & Systems Management
- Lead the design and documentation of scalable processes to improve marketing effectiveness.
- Identify inefficiencies and introduce continuous improvements across workflows.
- Own and enhance the marketing tech stack — working with internal teams and external consultants.
- Ensure smooth lead management across marketing and sales systems.
- Train staff on new tools, processes and changes.
What We’re Looking For
- Essential
- Strong experience with Python and SQL for data manipulation and analysis.
- Solid understanding of database design, schema management and data integration.
- Analytical mindset with a focus on commercial outcomes.
- Clear communicator able to translate technical insights for non-technical audiences.
- Confident managing multiple projects in a fast-paced environment.
- Technical aptitude — able to troubleshoot data and systems issues.
- Desirable
- Exposure to marketing automation platforms / CRM tools.
- Experience using data for segmentation, predictive modelling or attribution.
- Knowledge of Google Analytics and similar measurement tools.
- Understanding of how system and funnel design impacts reporting.
- Working knowledge of GDPR and emerging data-privacy trends.
Interested? If you’re passionate about using data to shape marketing strategy and want to join a growing global business with a strong focus on innovation — we’d love to hear from you.
Data Analyst in Over employer: Pure Resourcing Solutions
Contact Detail:
Pure Resourcing Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Over
✨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 Python and SQL. This will give you an edge and demonstrate your ability to turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining your technical skills in a way that’s easy for non-technical folks to understand — this is key for roles that blend tech with marketing.
✨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 in Over
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Python, SQL, and any marketing data projects you've worked on. 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 explain why you're passionate about data and how you can help us drive customer demand. Be sure to mention any relevant experience with marketing strategies or data analysis.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Share specific examples of how you've turned data into actionable insights or improved processes in previous roles. We love a good success story!
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 upload all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Pure Resourcing Solutions
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to manipulate and analyse data. This will show that you not only understand the technical side but can also apply it in real-world scenarios.
✨Understand Marketing Metrics
Familiarise yourself with key marketing metrics and how they relate to business outcomes. Be prepared to talk about how you've used data to influence marketing strategies in the past. This will demonstrate your ability to connect technical insights with commercial impact.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve processes. Think of examples from your experience where you've identified inefficiencies and implemented improvements. This will highlight your analytical mindset and problem-solving skills.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You might be asked to present your findings to non-technical stakeholders, so being able to translate technical jargon into understandable language is crucial. This will showcase your communication skills and ability to work collaboratively.
