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Meet the analytics team!

Meet ClearScore's analytics team

Our analytics team play a crucial role at ClearScore: they help us understand our users. They take anonymous raw data and use it to extract meaningful insights that help us continuously improve our service. In this blog, we get to meet our growing analytics team.

If you’re interested in joining the ClearScore team, you can see all of our available roles here.

Sophie

Sophie, analyst at ClearScore

1. Who are you and what you do at ClearScore?

I’m Sophie, and I’m an analyst.

2. What are you currently working on?

Currently I’m doing a project for marketing to identify the different groups of users so we can work out the best way to communicate with them.

I also check our financial model against our actual revenue each month, and I’m at the start of a research project looking at non-standard ways to determine credit risk, such as using mobile phone and social media data.

3. What made you decide to go into analytics?  

I studied chemistry at university, thinking I would go into research, then it turned out I didn’t really love chemistry at all.

I still wanted to do fairly varied work that would use my analytical skills and the maths and statistics I’d done, but I really wanted to be able to see the application to the ‘real world’ – when I came across the role at ClearScore I decided it would be the perfect introduction to analytics.

4. When you’re not working, what’s your favourite thing to do?

Bake! [Sophie makes insanely good brownies].

5. What’s your favourite quote?

I found my new favourite quote (it changes very regularly!) in a book that Anna, our Head of Marketing, recommended to me. It’s called Dataclysm, and the guy who wrote it [Christian Rudder] worked as an analyst at OkCupid. In it he writes ‘the perfect should not be the enemy of the better-than-ever-before’.

Ivan Ivan, analyst at ClearScore

1. Who are you and what do you do at ClearScore?

I’m Ivan, and I work as the lead analyst in the team at ClearScore. I’m responsible for a wide variety of tasks of a data driven nature. This can involve finding insights into our customers’ behaviour so that we can make sure Marketing are talking to the right people, closely monitoring a change or test we have implemented to improve the experience of the site, or even dreaming up creative new strategies that involve using our data to improve the service that we offer.

2. What made you decide to go into analytics?
I kind of ended up here! I knew I wanted to do something numbers driven as it’s my strong suit and I enjoy the satisfaction of being able to answer questions with concrete, data driven answers, as well as balancing intangible factors.

Being in analytics means I can use that strong suit to influence companies, both in terms of small, tactical decisions and long term strategic planning. It’s also a nice connection between hard maths and customers.

3. What do you love about your job? What don’t you like?
Getting geeky about charts has to be a top one! Seriously, ClearScore are very good at encouraging new perspectives and being creative in the way we use data – much more so than more traditional larger organisations. Many of the analytical problems we face here haven’t ever been encountered before so it can feel good be involved in work that is breaking entirely new ground.

It can feel very hectic at times which can lead to things slipping which is frustrating – but that’s a fair price to pay to work in an excitingly fast paced organisation.

5. When you’re not working, what’s your favourite thing to do?
I’m a big fan of rock climbing – although currently sidelined due to an injury, I will be back out there soon! I’m generally a sportsy person which seems to be a common theme in the team.

Bruce

Bruce, analyst at ClearScore

1. Who are you and what do you do at ClearScore?

I am the technical lead for the analytics department. I am responsible for the business analytics monitoring systems. My role involves making sure that the analysts have quick and easy access to all the data they need, as well as performing some simple analyses.

2. What kind of skills do you need to be effective in your role?

Mainly java programming, basic maths and statistics, knowledge of Elasticsearch and Hadoop ecosystems.

3. What do you love about your job? What don’t you like?

I love that I get an inside view on how a large scale consumer business like ClearScore works. I love most things about my job.

4. If you could have any super power, what would it be?

Saying what people were going to say just before they said it. Hours of fun.

 

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