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- Tasks: Develop and manage analytics projects, create statistical models, and analyse performance drivers.
- Company: Evelyn Partners, a forward-thinking firm in Glasgow.
- Benefits: Private medical insurance, life assurance, generous holiday package, and hybrid working model.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and make data-driven decisions that shape the future.
- Qualifications: Proficiency in SQL and Python, with experience as a Data Analyst.
The predicted salary is between 35000 - 45000 £ per year.
Evelyn Partners, located in Glasgow, is seeking a Data Analyst to develop and manage an analytics projects roadmap collaboratively.
Key responsibilities include:
- Creating statistical models
- Analyzing key performance drivers
Candidates should have proficiency in SQL and Python, and experience as a Data Analyst.
The position offers a hybrid working model with benefits like private medical insurance, life assurance, and a generous holiday package.
Data Analytics & Insights Specialist (Hybrid) in Glasgow employer: Evelyn Partners
Contact Detail:
Evelyn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics & Insights Specialist (Hybrid) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Evelyn Partners on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL and Python projects. We want to see how you’ve tackled real-world problems with data analytics.
✨Tip Number 3
Ace the interview! Research common data analyst interview questions and practice your answers. We need to demonstrate our analytical thinking and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Data Analytics & Insights Specialist (Hybrid) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as these are key skills for the Data Analytics & Insights Specialist role. We want to see how your past projects align with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Share specific examples of your work that demonstrate your analytical skills and ability to manage projects.
Showcase Your Projects: If you've worked on any relevant analytics projects, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role without any hiccups.
How to prepare for a job interview at Evelyn Partners
✨Know Your SQL and Python Inside Out
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 languages, and maybe even prepare to solve a coding challenge on the spot.
✨Understand the Analytics Projects Roadmap
Familiarise yourself with what an analytics projects roadmap entails. Think about how you would approach developing one and be prepared to share your ideas on managing and prioritising projects during the interview.
✨Showcase Your Statistical Modelling Skills
Be ready to talk about your experience with statistical models. Bring examples of how you've created or used them in past roles, and be prepared to explain the impact they had on performance drivers.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the company culture at Evelyn Partners. This shows your genuine interest and helps you assess if it's the right fit for you, especially in a hybrid working environment.