At a Glance
- Tasks: Lead marketing analytics projects and translate data into actionable insights.
- Company: A top customer experience consultancy at the forefront of data and marketing.
- Benefits: Salary between £60,000 and £75,000, hybrid work, and clear career progression.
- Other info: Collaborative team environment with exposure to diverse analytics challenges.
- Why this job: Make a real impact on business decisions and enhance customer engagement.
- Qualifications: Strong experience in marketing analytics and proficiency in SQL or Python.
This is a strong opportunity for a Senior Data Analyst to work across high profile marketing analytics projects, combining customer insight with commercial impact. You will have real visibility with stakeholders and the chance to influence how data drives business decisions.
The Company
They are a leading customer experience consultancy within a global network, working at the intersection of data, marketing, and technology. Their analytics function brings together data science, analytics, and strategy to improve customer engagement and business outcomes. Teams operate in a collaborative, project based environment with exposure across multiple clients.
The Role
- Lead delivery of marketing analytics projects across campaign performance and customer journeys
- Translate data into clear commercial and customer insights
- Work closely with stakeholders to answer key business questions
- Use tools such as SQL or Python alongside digital analytics platforms
- Support and guide junior analysts while improving team output
- Contribute to strategic analytics planning and account growth
Your Skills and Experience
- Strong commercial experience in marketing or digital analytics
- Proficiency in SQL and or Python
- Experience delivering insights to stakeholders in a client facing environment
- Ability to work across multiple projects in a fast paced setting
- Exposure to data visualisation and dashboarding
What They Offer
- Salary between £60,000 and £75,000
- Hybrid working, 3 days in office
- Clear progression with opportunities to move across different client accounts
- Collaborative and supportive team environment
- Exposure to a wide range of analytics and marketing challenges
How to Apply
Apply now to find out more about this Senior Data Analyst opportunity.
Senior Data Analyst - 12 month FTC in Slough employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - 12 month FTC in Slough
✨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 Data Analyst - 12 month FTC in Slough
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.
