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- Tasks: Drive strategic insights and optimise data architecture for impactful decisions.
- Company: Leading digital healthcare company in the UK with a focus on innovation.
- Benefits: Competitive salary, extensive benefits, and opportunities for career growth.
- Why this job: Join a dynamic team and make a real difference in healthcare analytics.
- Qualifications: 5+ years of experience in data analytics, SQL, Python, and marketing analytics.
- Other info: Collaborative environment with a strong emphasis on professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital healthcare company in the United Kingdom is looking for an experienced Data Analyst to drive strategic insights, optimize data architecture, and enable data-driven decisions across multiple teams.
The ideal candidate will have over 5 years of experience, expertise in SQL and Python, and a strong background in marketing analytics.
This position offers a competitive salary and numerous benefits to support your career growth.
Senior Data Analytics Lead - Growth & Insights employer: black.ai
Contact Detail:
black.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Lead - Growth & Insights
✨Tip Number 1
Network like a pro! Reach out to connections in the digital healthcare space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Showcase your skills! Create a portfolio or a GitHub repository where you can display 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 brushing up on common data analytics questions and case studies. Practice articulating how your experience aligns with driving strategic insights and optimising data architecture.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly helps us see your enthusiasm and fit for the team. Plus, it’s super easy!
We think you need these skills to ace Senior Data Analytics Lead - Growth & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your marketing analytics background!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decisions and how you can contribute to our growth. Let us know what excites you about this position!
Showcase Relevant Projects: If you've worked on projects that demonstrate your analytical skills or strategic insights, include them! We love seeing real-world applications of your expertise, so share those success stories with us.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at black.ai
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to drive insights or optimise data architecture. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Marketing Analytics Experience
Prepare examples of how you've used data analytics to influence marketing strategies. Think about campaigns you've worked on and the insights you derived from data. This will demonstrate your ability to connect data analysis with real-world business outcomes.
✨Understand the Company’s Goals
Research the digital healthcare company and understand their mission and current challenges. Tailor your responses to show how your skills can help them achieve their goals, especially in driving strategic insights and enabling data-driven decisions.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the tools they use, or how they measure success in data analytics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
