We are always on the look out to recruit the best at Merkle Analytics. As our client base grows so does our team of hardworking, dedicated analysts. Over the years we have seen brilliant examples of ‘interview best practice’ but also witnessed some behaviours best avoided.
Typically you have an hour to make a lasting impression. When you leave the room, you need to have made it easy for us to say yes. We want you to have technical skills, but an interview is also about showing you match with Merkle values.
First impressions do count
- Our workplace and dress code is fairly relaxed, but we expect you to be on time, come prepared with any materials you want to share and dress appropriately (this doesn’t mean wearing a suit).
- All our team are required to be client-facing, so your interview gives us the opportunity to determine how you would behave during a client meeting.
Be concise, communicate your point effectively
- We often need to help clients understand the complexities of data and technology. Your ability to communicate during an interview gives us an idea of how you would perform when put under pressure by a client.
- It sounds obvious but not answering the question and going off on tangents is a common mistake. Try not to.
- Similar to delivering an analytics project to a client, there’s limited value in telling the listener something they already know. We will have read your CV in advance, so it’s much more interesting to tell us what you learned from a role, your key achievements and how you overcame challenges.
- Bring each point round to a conclusion, ask yourself “why is it relevant?”
Do your homework
- Be prepared; you need to show you have researched and spent time understanding Merkle (but don’t just repeat buzzwords from the website).
- We work in new industries, with new clients, and need to be able to demonstrate an understanding of their business and the context in which they work. Start by doing the same for Merkle.
- We’ve lost count of the number of times a candidate has said “I am excellent at…” then when we follow up with “can you give me an example” they struggle to think of something; it means we question the reliability and authenticity of what you’ve just said.
- When asked about your particular contribution to a project, be specific. The big picture helps us understand the context, but we really want to know what part you played. It can be helpful to use the STAR technique when answering questions. https://help.open.ac.uk/using-star-technique-in-a-job-interview
- We’re nice (honestly!), and we want you to do well, so don’t panic. If you don’t know how to answer a question, stop and think, a measured and thought through answer is usually much more effective.
- Sometimes it’s more admirable to admit you can’t answer the question and move on. In a client situation, we recognise the best answer is sometimes to say that we’ll take it away and get back to them once we’ve spoken to the relevant person
Don’t be a know it all
- Focus on your skills, and what you enjoy, we don’t expect you to be an expert on everything
- The strength of Merkle Analytics is that we can learn from each other, or defer to others when skills are needed; we can recognise our weaknesses.
Show passion and motivation
- Show us you love what you do, being enthusiastic about data and finding hidden nuggets of insight is a good thing here.
- We work in an industry which is continuously evolving and developing; we need to be adaptive, demonstrate to us how you keep your skillset relevant and up to date
Don’t leave us guessing
- Make it clear to us how you can bring value to Merkle, spell it out, and soon you could be a part of the team!
Interested in joining our team? Find out more about current vacancies on our careers page.