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- Tasks: Analyse large datasets to deliver actionable insights and support key business decisions.
- Company: Rapidly growing data technology company working with major brands.
- Benefits: Salary up to £55,000, hybrid working, and opportunities for impact.
- Why this job: Join a dynamic team and turn complex data into meaningful insights.
- Qualifications: Experience in analytics, strong SQL skills, and confident communication.
- Other info: Fast-paced environment with opportunities for growth and innovation.
The predicted salary is between 34000 - 46000 £ per year.
Data Insight Analyst
Location: Manchester– Hybrid (2 days in-office)
Salary: £40,000 – £55,000
We’re partnered with a rapidly growing data technology company that works with major brands in media, marketing, and research. They’re building out a central analytics function and looking for a Data Analyst to turn complex data into actionable insight.
This role sits at the heart of the business, working on varied projects — from analysing device-level data to uncover trends, to supporting compliance and improving internal processes. You’ll also have the opportunity to work with marketing and media data and contribute directly to business-critical decisions.
WHAT YOU’LL DO
- Analyse large-scale behavioural and technical datasets to deliver insight.
- Translate business questions into clear, data-driven recommendations.
- Present findings to both internal teams and external clients.
- Build lightweight automation to streamline processes.
WHAT WE’RE LOOKING FOR
- Good experience in N analytics role with strong SQL skills.
- Confident communicator who thrives in fast-paced, ambiguous environments.
- Bonus: Python, experience with marketing/media analytics, or technical data exposure.
Up to £55,000, hybrid working, and the chance to make an impact in a fast-scaling, data-driven business.
Data Insight Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insight Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. 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. Use real-world examples to demonstrate how you've turned complex data into actionable insights. This will make you stand out!
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you would explain your findings to non-technical stakeholders. We want you to shine when it comes to presenting your insights!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Insight Analyst role. Highlight your experience with SQL and any relevant projects that showcase your ability to analyse large datasets and deliver actionable insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your skills align with the company's goals. Don’t forget to mention any experience with marketing or media analytics if you have it!
Showcase Your Communication Skills: As a Data Insight Analyst, you'll need to present findings clearly. In your application, demonstrate your communication skills by using clear, concise language and providing examples of how you've effectively communicated complex data insights in the past.
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 keep track of your application status directly!
How to prepare for a job interview at Harnham
✨Know Your Data
Make sure you brush up on your SQL skills and any relevant data analysis tools. Be prepared to discuss specific projects where you've turned complex datasets into actionable insights, as this will show your practical experience.
✨Communicate Clearly
Since the role requires presenting findings to both internal teams and clients, practice explaining your analysis in simple terms. Use examples from your past work to demonstrate how you can translate data into clear recommendations.
✨Show Your Problem-Solving Skills
Think of scenarios where you've tackled ambiguous situations or fast-paced challenges. Be ready to share how you approached these problems and what the outcomes were, as this will highlight your adaptability and critical thinking.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical knowledge, especially around SQL and possibly Python. Brush up on common queries and be ready to discuss how you've used these skills in real-world applications, particularly in marketing or media analytics.