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- Tasks: Own and scale data models while enhancing data quality for impactful insights.
- Company: Leading analytics consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on decision-making and innovate in AI and automation.
- Qualifications: Strong SQL and dbt skills, plus experience with BI tools like Tableau.
- Other info: Join a dynamic team and foster a self-serve analytics culture.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics consultancy in the UK is seeking an Analytics Engineer to take ownership of their data platform. This crucial role focuses on scaling data models, improving data quality, and fostering a self-serve analytics culture.
The ideal candidate will have strong SQL and dbt skills, as well as experience with BI tools like Tableau.
Join a dynamic team and make a real impact on decision-making across the business with opportunities to innovate in AI and automation.
Analytics Engineer, Data Platform — Own & Scale Insights employer: proSapient
Contact Detail:
proSapient Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer, Data Platform — Own & Scale Insights
✨Tip Number 1
Network like a pro! Reach out to people in the analytics field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and dbt projects, or any cool dashboards you've built with Tableau. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Think about how you’d tackle data quality issues or scale data models. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Analytics Engineer, Data Platform — Own & Scale Insights
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can leverage SQL to scale data models and improve data quality, so don’t hold back on sharing relevant experiences!
Talk About Your BI Tool Experience: If you've worked with BI tools like Tableau, let us know! Share specific projects where you used these tools to drive insights. This will help us understand how you can contribute to fostering a self-serve analytics culture.
Be Innovative: We love fresh ideas! If you have experience innovating in AI or automation, make sure to mention it. Show us how you can bring new perspectives to our dynamic team and make a real impact on decision-making.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at proSapient
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and data manipulation, as this will likely come up. Practising some common SQL problems can help you feel more confident.
✨Showcase Your dbt Expertise
Since dbt is a key part of the role, be ready to talk about your previous projects using dbt. Highlight how you've used it to improve data quality or streamline processes. If possible, bring examples of your work to demonstrate your hands-on experience.
✨Familiarise Yourself with BI Tools
Get comfortable with BI tools like Tableau, as they are essential for this position. Prepare to discuss how you've used these tools to create impactful visualisations or reports. Consider bringing a portfolio of your work to showcase your skills.
✨Emphasise Your Innovative Mindset
This role offers opportunities to innovate in AI and automation, so be ready to share your ideas. Think about how you can contribute to fostering a self-serve analytics culture and improving decision-making. Showing enthusiasm for innovation will set you apart.