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- Tasks: Lead analytical projects, build predictive models, and work with marketing data.
- Company: High growth data consultancy based in London.
- Benefits: Salary up to £65,000 and hybrid work options.
- Why this job: Make a real impact in data analytics and grow your career.
- Qualifications: Strong technical skills in data transformation and digital marketing analytics.
- Other info: Exciting opportunity for career advancement in a dynamic environment.
The predicted salary is between 52000 - 78000 £ per year.
A high growth data consultancy in London is seeking a Lead Data Analyst to spearhead analytical projects across experimentation and BI. This strategic role involves building predictive models and working hands-on with SQL and marketing data from platforms like Google and Meta.
Ideal candidates will have strong technical skills in data transformation and a background in digital marketing analytics. The role offers a salary of up to £65,000 and hybrid work arrangements.
Lead Data Analyst - Hybrid, Build Models & Grow Impact employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Hybrid, Build Models & Grow Impact
✨Tip Number 1
Network like a pro! Reach out to people in the data analytics field, especially those working in companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any projects you've worked on with SQL or marketing data. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially in digital marketing analytics. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Analyst - Hybrid, Build Models & Grow Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in data transformation and any experience you have with SQL. We want to see how you can build predictive models and apply them to real-world scenarios, especially in digital marketing analytics.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Lead Data Analyst role. Mention your hands-on experience with platforms like Google and Meta, and how you've used data to drive impactful decisions.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and how it relates to the role. Avoid fluff and focus on what makes you a great fit!
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 showcase your application in the best light. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you’re well-versed in SQL and any other data transformation tools mentioned in the job description. Brush up on your skills and be ready to discuss specific projects where you've used these tools effectively.
✨Showcase Your Analytical Projects
Prepare to talk about your previous analytical projects, especially those involving experimentation and BI. Highlight how your work has driven impact, particularly in digital marketing analytics, as this is crucial for the role.
✨Understand the Company’s Focus
Research the consultancy's recent projects and their approach to data analysis. This will help you tailor your answers and demonstrate that you’re genuinely interested in contributing to their growth.
✨Prepare for Technical Questions
Expect technical questions related to predictive modelling and data analysis. Practice explaining your thought process clearly and concisely, as this will show your problem-solving skills and technical expertise.
