At a Glance
- Tasks: Drive technical delivery of Proofs of Value for clients and transform customer data.
- Company: Leading analytics firm in the UK with a focus on innovation.
- Benefits: Flexible work environment and competitive salary.
- Why this job: Grow your technical skills while supporting a successful sales cycle.
- Qualifications: Proficiency in Python, ETL workflows, and strong communication skills.
- Other info: Exciting opportunity to collaborate with diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm in the UK is seeking a Pre Sales Engineer to drive the technical delivery of Proofs of Value (PoVs) for clients. This role involves preparing and transforming customer data, collaborating with various teams, and ensuring high-quality PoV outputs.
The ideal candidate should have:
- Proficiency in Python
- Experience with ETL workflows
- Excellent communication skills
Offering a flexible work environment and competitive salary, this position provides an opportunity to grow technically while supporting a successful sales cycle.
Pre-Sales Engineer: AI PoV Specialist (Remote UK) employer: Chattermill
Contact Detail:
Chattermill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pre-Sales Engineer: AI PoV Specialist (Remote UK)
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini project or case study that showcases your Python and ETL workflow expertise. This will not only impress but also demonstrate your hands-on experience during interviews.
✨Tip Number 3
Practice makes perfect! Get together with a friend or mentor and do mock interviews. Focus on explaining complex technical concepts clearly, as communication is key for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Pre-Sales Engineer: AI PoV Specialist (Remote UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and ETL workflows. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Pre-Sales Engineer position and how your background makes you a perfect fit. Let us know what drives you!
Show Off Your Communication Skills: Since this role involves collaboration with various teams, make sure to demonstrate your communication skills in your application. We love candidates who can convey complex ideas clearly and effectively!
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!
How to prepare for a job interview at Chattermill
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand ETL workflows thoroughly. Be ready to discuss how you've used these technologies in past projects, as this will show your technical prowess and ability to deliver high-quality PoVs.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems or scenarios related to data transformation and client needs. Practise articulating your thought process clearly, as this will demonstrate your problem-solving skills and how you collaborate with teams.
✨Showcase Your Communication Skills
Since this role involves working closely with clients and various teams, be prepared to highlight your communication strategies. Share examples of how you've effectively conveyed complex technical information to non-technical stakeholders in the past.
✨Research the Company and Its Clients
Familiarise yourself with the analytics firm’s offerings and their client base. Understanding their business model and the challenges their clients face will help you tailor your responses and show that you're genuinely interested in contributing to their success.