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- Tasks: Analyse data to create impactful campaigns and build dashboards in Power BI.
- Company: Specialist agency in the UK with a focus on data-driven insights.
- Benefits: Hybrid working options, collaborative culture, and opportunities for autonomy.
- Why this job: Shape data-driven strategies and make a real impact in a dynamic environment.
- Qualifications: 3-5 years of analytics experience, advanced Excel, and confident SQL skills.
- Other info: Great opportunity for career growth and developing communication skills.
The predicted salary is between 36000 - 60000 £ per year.
A specialist agency in the UK seeks a mid-level Data Analyst to shape impactful data-driven campaigns. The role includes analyzing datasets, building dashboards in Power BI, and ensuring data quality.
Ideal candidates will have:
- 3–5 years of experience in analytics
- Advanced Excel skills
- Confident SQL skills
- A strong ability to communicate insights
This position offers a collaborative culture with hybrid working options, valuing autonomy and responsibility in analytical processes.
Data Analyst: Forecasting & Insights (Hybrid, London) employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Forecasting & Insights (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and Excel skills. We should be ready to showcase our analytical prowess with real examples from past projects. Practice makes perfect!
✨Tip Number 3
Don’t underestimate the power of storytelling! When discussing insights, we need to communicate them clearly and compellingly. Think about how our analysis has driven decisions in previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight the skills that match the job description perfectly.
We think you need these skills to ace Data Analyst: Forecasting & Insights (Hybrid, London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with analytics, especially your SQL and Excel skills. We want to see how you've used these tools in past roles to drive insights and make data-driven decisions.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your achievements and how they relate to the role.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to reflect the specific requirements of the Data Analyst role. Show us why you’re the perfect fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've used it in past projects, and maybe even prepare a mini demo or example of a dashboard you've built. This will show your practical experience and confidence with the tools they'll expect you to use.
✨Showcase Your Analytical Mindset
Prepare to talk about specific datasets you've analysed and the insights you've drawn from them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly communicate your thought process and the impact of your work.
✨SQL Skills on Display
Since confident SQL skills are a must, be prepared for technical questions or even a live coding challenge. Brush up on common queries and be ready to explain your logic. Practising with sample datasets can help you feel more at ease during this part of the interview.
✨Communicate Clearly
As a Data Analyst, your ability to communicate insights is crucial. Practice explaining complex data findings in simple terms. You might want to prepare a few examples where your communication made a difference in a project. This will demonstrate your ability to bridge the gap between data and decision-making.
