Are you into analysis? Conor gives us the rundown on what it's like as an Insights Analyst
"The opportunity to work on impactful projects is why I came here."
Name: Conor Curley
Job title: Insights Analyst
What area of Sky do you work in? ROI Insight & Data Science team (IDS)
What’s your career journey been like up until now? I began my career in CITI in Belfast, followed by 18 months in an Analytics Consultancy then I worked for two years as a Senior Analyst in PTSB (Irish Retail Bank) for their Insights & Analytics Team. I then took a career break travelling before returning to Dublin.
What does a typical day working here look like for you? I start my day by making my Like & Must to-do list and checking my calendar for the day ahead. If I have an upcoming insights presentation, I will schedule time for data storytelling – integrating my insights into a consumable actions and knowledge points. A key challenge in analytics is making complex analysis consumable for our stakeholders.
If I am working on a Deepdive project such as our VIP Loyalty programme, Broadband, or SKY Q, I review progress made and plan next steps. One of these steps for example, we integrate all our data needs into one view which forms the base dataset. From this dataset we can create our analysis – much of your time in analytics is spent at this stage – integrating data from multiple sources across an organisation as big as sky takes some coding time but when right it makes creating impactful insights much easier.
If I am working on a Propensity Modelling project, I am working in SAS Miner building and analysing our predictive models, constantly asking “where is this driving value for our stakeholders and customers?” and “how can this be integrated into our customer journey pipeline?”
If you’ve been here over one year, how have you made a difference in your role? I only joined 3 months ago however already I’ve delivered analysis pieces on the customer retention impact of our Loyalty Customers and rebuild our propensity modelling pipeline for our CVM processes. Next up, is a Deepdive project on Broadband in ROI.
What’s been your proudest moment since working here? Seeing the results from my propensity models, I invested a lot of work into creating our datasets and feature engineering – this hard work has paid off with improved results.
What’s the most enjoyable thing about your job? Well two things make my job enjoyable, having a great team and working on challenging projects. Most office employees spend a huge amount of their time with their co-workers, if you don’t have a good working relationship with your team – work loses a lot of enjoyment. Secondly, the opportunity to work on impactful projects is why I came here. The scale of data available across products and the complex business model leads to challenging analytics projects that constantly push my learning further.
Describe your work/life balance? The business has a great culture on this, adjusting to people lives make it easier to get the work done while still managing the real things that are outside work.
What advice would you give to others trying to develop their career? I would recommend developing your SQL skills and your machine learning knowledge, sites such as Coursea, Linked-in Learning and w3schools offer great online courses. Knowledge of these ensures you hit the ground running no matter the tech stack on the analytics team.
An interesting fact/something no one else knows about you? My 1st Skydive was a solo static line jump, it was also a crash – breaking my leg!