At a Glance
- Tasks: Analyse large datasets to drive marketing strategies and optimise performance.
- Company: Join a leading, data-driven organisation in the heart of London.
- Benefits: Competitive salary up to £80,000, hybrid working, and career growth opportunities.
- Other info: Collaborative environment with exposure to modern data tools and methodologies.
- Why this job: Make a real impact on marketing decisions and work with senior stakeholders.
- Qualifications: Strong experience in digital marketing analysis and advanced SQL skills.
The predicted salary is between 80000 - 80000 £ per year.
This is a strong opportunity for a Marketing Data Analyst to join a well-established, data-driven organisation on a fixed-term basis, working at the heart of performance marketing decision-making. You will work with large-scale datasets, influence senior stakeholders, and play a key role in shaping marketing strategy through experimentation and insight.
- Deliver analysis to support performance marketing and customer growth initiatives
- Analyse campaign performance and provide clear, actionable insights
- Work closely with marketing stakeholders to optimise channel performance
- Use SQL to extract, manipulate, and analyse large datasets
- Translate complex data into clear narratives for non-technical audiences
- Collaborate with product, engineering, and analytics teams to drive data best practice
- Contribute to strategic decision making through insight generation and scenario analysis
Strong commercial experience analysing digital marketing or customer data:
- Advanced SQL skills with the ability to work independently with large datasets
- Experience with A/B testing and experimentation methodologies
- Familiarity with web analytics tools such as Google Analytics
- Strong understanding of performance marketing metrics and attribution
- Experience working in fast-paced, data-driven environments such as tech, fintech, or scale-up businesses
- Exposure to modern data tooling such as dbt is advantageous
Hybrid working with three days per week in the office. Opportunity to work on large-scale marketing datasets and high-impact analytics projects. Strong exposure to senior stakeholders and commercial decision-making.
Senior CRM Data Analyst in London employer: Harnham
Join a dynamic and data-driven organisation in London, where you will have the opportunity to influence marketing strategies and drive customer growth initiatives. With a strong focus on employee development, our collaborative work culture encourages innovation and offers hybrid working arrangements, allowing for a balanced professional and personal life. As a Senior CRM Data Analyst, you will engage with senior stakeholders and work on high-impact projects, making this an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior CRM Data Analyst in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harnham before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harnham.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harnham.
We think you need these skills to ace Senior CRM Data Analyst in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harnham.
