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- Tasks: Lead a team to enhance data quality and governance in analytics.
- Company: Fast-growing mobile advertising tech firm based in London.
- Benefits: Competitive salary, bonus opportunities, and hybrid work model.
- Why this job: Join a dynamic team and make a significant impact in data analytics.
- Qualifications: Strong SQL and Python skills, plus people management experience.
- Other info: Exciting growth potential in a vibrant industry.
The predicted salary is between 43200 - 72000 £ per year.
A fast growing mobile advertising technology firm in London seeks an Analytics Engineering Manager to lead the data and analytics function. You will manage a small team focused on scalable solutions and drive improvements in data quality and governance.
Strong experience in SQL and Python, along with people management skills, is essential. This role offers a hybrid work model with competitive salary and bonus opportunities.
Lead Analytics Engineering - Data & Automation (Hybrid London) employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineering - Data & Automation (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your SQL and Python projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to analytics and team management. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Lead Analytics Engineering - Data & Automation (Hybrid London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Team Management Matters: Since this role involves managing a small team, share examples of your people management experience. We’re keen to know how you’ve led teams and driven improvements in past roles.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Lead Analytics Engineering role. We love seeing candidates who take the time to connect their experience with our needs.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Jobster
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to solve problems or improve processes. Practising coding challenges can also help you feel more confident.
✨Showcase Your Leadership Skills
As a Lead Analytics Engineering Manager, you'll need to demonstrate your people management abilities. Think of examples where you've successfully led a team, resolved conflicts, or mentored junior staff. Be ready to share how you foster collaboration and drive results.
✨Understand Data Quality and Governance
Familiarise yourself with best practices in data quality and governance. Be prepared to discuss how you've implemented these practices in previous roles. Showing that you understand the importance of data integrity will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and the challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. It’s a great way to engage with the interviewers and leave a lasting impression.
