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- Tasks: Drive data-driven decisions and optimise processes with operational teams.
- Company: Leading global technology company with a diverse team culture.
- Benefits: Competitive salary, flexible working arrangements, and career growth opportunities.
- Why this job: Make an impact by supporting product scaling through data analysis.
- Qualifications: 4+ years of analytics experience and advanced SQL skills.
The predicted salary is between 75000 - 100000 £ per year.
A leading global technology company is seeking a Lead Data Analyst to drive data-driven decisions and support product scaling. The role involves collaborating with operational teams to analyze performance and optimize processes.
Ideal candidates should have:
- 4+ years of analytics experience
- Advanced SQL skills
- A background in operational analytics
This position offers a competitive salary ranging from £75k to £100k gross annually, flexible working arrangements, and a diverse team culture.
Lead Data Analyst - Operational Analytics in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Operational Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the company. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills. We know you’ve got the experience, but being able to showcase your technical prowess in real-time can really set you apart.
✨Tip Number 3
Showcase your analytical mindset! During interviews, share specific examples of how you've used data to drive decisions and optimise processes. We want to see that you can think critically and act strategically.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Lead Data Analyst - Operational Analytics in London
Some tips for your application 🫡
Show Off Your Analytics Skills: Make sure to highlight your 4+ years of analytics experience in your application. We want to see how you've used advanced SQL skills to drive data-driven decisions in your previous roles.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects where you collaborated with operational teams and how you optimised processes.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for operational analytics without fluff.
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 hackajob
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and methodologies relevant to operational analytics. Brush up on your SQL skills, as you’ll likely be asked to demonstrate your ability to manipulate and analyse data during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working closely with operational teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where your insights led to improved processes or performance.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Be ready to discuss how you would approach real-world scenarios related to data analysis and operational optimisation. Practising these types of questions can help you articulate your thought process clearly.
✨Research the Company Culture
Familiarise yourself with the company’s values and culture. This will not only help you tailor your responses but also show that you’re genuinely interested in being part of their diverse team. Mentioning how your personal values align with theirs can make a strong impression.
