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- Tasks: Analyse complex datasets and deliver insights to clients in a hybrid role.
- Company: Harnham, a leading data analytics firm in London.
- Benefits: Competitive salary up to £55,000 and opportunities for professional growth.
- Other info: Join a dynamic team and work on exciting client-facing projects.
- Why this job: Make a real commercial impact through your data analysis skills.
- Qualifications: Strong SQL and Python skills, plus client engagement experience.
The predicted salary is between 50000 - 55000 £ per year.
Harnham is looking for a Data Analyst in London to work on client-facing projects in a hybrid role. This position offers the chance to make a real commercial impact through thoughtful data analysis and insight delivery.
Key responsibilities include:
- Gathering requirements
- Analyzing complex datasets
- Presenting findings to stakeholders
The ideal candidate will have strong SQL skills and experience with Python, as well as the ability to engage directly with clients. Competitive salary up to £55,000 depending on experience and skills.
Hybrid Client-Facing Data Analyst: Customer Insights employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Client-Facing Data Analyst: Customer Insights
✨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
Practice your pitch! When you get the chance to chat with hiring managers or recruiters, be ready to explain how your SQL and Python skills can make a difference. Tailor your message to show how you can deliver insights that drive commercial impact.
✨Tip Number 3
Showcase your work! Create a portfolio of your data analysis projects, especially those that involved client interactions. This will not only demonstrate your technical skills but also your ability to engage with stakeholders effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid Client-Facing Data Analyst: Customer Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, and any client-facing experience you've had. We want to see how you can make a commercial impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Analytical Skills: In your application, include examples of how you've gathered requirements and analysed complex datasets in the past. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even tackle a few practical questions or exercises. This will show that you can handle the technical aspects of the role with confidence.
✨Showcase Your Python Experience
Since Python is a key requirement for this position, be ready to talk about specific projects where you've used it. Highlight any libraries or frameworks you're familiar with, and think about how you can demonstrate your problem-solving skills through coding examples.
✨Engage with Client Scenarios
As this role involves client-facing work, prepare to discuss how you've interacted with clients in the past. Think of examples where you gathered requirements or presented findings. This will help illustrate your communication skills and ability to translate data insights into actionable recommendations.
✨Prepare Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Use this opportunity to show your interest in the company and the role. Ask about their current projects, the team dynamics, or how they measure the impact of data analysis on their business decisions. This will demonstrate your enthusiasm and proactive mindset.