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- Tasks: Deliver high-quality data analysis using SQL and Python to support decision-making.
- Company: Leading UK data insights company with a focus on innovation.
- Benefits: 25 days annual leave and numerous development opportunities.
- Why this job: Join a dynamic team and make impactful decisions through data.
- Qualifications: University degree in a quantitative field and experience with large datasets.
- Other info: Collaborate with data engineers and scientists in an exciting environment.
The predicted salary is between 28800 - 43200 £ per year.
A leading UK data insights company is seeking an Insight Analyst to deliver high-quality analysis and insights to support decision-making. The role involves hands-on data analysis using SQL and Python/R, collaborating with data engineers and scientists, and participating in exploratory data analysis.
The ideal candidate will have:
- a university degree in a quantitative field,
- experience with large datasets,
- a passion for data.
Benefits include 25 days of annual leave and a range of development opportunities.
Insight Analyst: SQL/Python Data Analytics & Modelling in Oldbury employer: The AA
Contact Detail:
The AA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst: SQL/Python Data Analytics & Modelling in Oldbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is a great way to demonstrate your hands-on experience with data analysis and modelling to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and case studies. Practising your problem-solving skills will help you shine when discussing how you approach exploratory data analysis.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Insight Analyst: SQL/Python Data Analytics & Modelling in Oldbury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your data analysis prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background makes you a great fit for the Insight Analyst role. We love seeing enthusiasm and a personal touch!
Showcase Your Analytical Skills: In your application, include examples of how you've tackled large datasets or complex problems in the past. We’re looking for candidates who can demonstrate their analytical thinking and problem-solving abilities, so let us know what you've achieved!
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 the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at The AA
✨Know Your SQL and Python
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, and maybe even solve a coding challenge on the spot. Practising common data manipulation tasks can really help you shine.
✨Showcase Your Analytical Mindset
During the interview, highlight your experience with large datasets and how you've derived insights from them. Use examples that demonstrate your analytical thinking and problem-solving abilities. This will show them that you can not only handle data but also turn it into actionable insights.
✨Collaborate Like a Pro
Since the role involves working with data engineers and scientists, be ready to talk about your teamwork experiences. Share examples of how you've collaborated on projects, tackled challenges together, and contributed to a positive team dynamic. This will illustrate your ability to work well in a collaborative environment.
✨Express Your Passion for Data
Let your enthusiasm for data analytics shine through! Talk about what excites you about working with data and how you stay updated with industry trends. This passion can set you apart from other candidates and show that you're genuinely interested in the role.
