Hi Ana Gabrielle!
What did you study?
I graduated with a Bachelor’s degree in Business Administration at Taiwan’s National ChengChi University in 2016. After a short stint in my home country of Honduras, I came to Norway to study for an MSc. in Business Analytics at BI Norwegian Business School, graduating in 2020.
What professional experiences do you have prior to Precis?
I bounced around a lot, teaching English and writing copy whilst studying in Taiwan. In Honduras, I was a Payroll & Customer Service Specialist for an HR Service Group, managing client’s employee’s payroll and taxes, and reporting on e.g. turnover. As I started my MSc., I started working at the software company Opera as a part-time Business Intelligence Analyst. There, I was mostly working with marketing and costs. It involved a lot of reporting on cost consolidation and marketing performance, with some statistical/machine learning analyses. I also inherited the maintenance of a few data processing pipelines for some products. And, of course, a lot of dashboarding!
What do you do at Precis?
I work as a Data Engineer in the Oslo office, but am also part of a cross-office data specialist team. I help out in the optimisation of internal processes, scripts, and dashboards, as well as in our customer’s pursuit of getting the most out of their data. I have the freedom to approach tasks as I see fit, whilst also counting on the knowledge of the wider team. I work a lot using SQL and Python, be it for a reporting dashboard or a machine learning analysis on client data.
What does a regular week look like for you?
Tough question! The weeks depend a lot on the projects that I am doing. There are always daily stand-ups, and a few standing client meetings. Beyond that, the focus of the week is usually centred on one or two big projects, which usually require research (into different model algorithms, or API documentation), a few syncs, and the further development of the project. There are also a few ad hoc requests e.g., helping consolidate discrepancies between data and dashboard. As the Jira Lead for the Oslo Office, I’ll also usually have a Jira-related question or task. I also have a weekly standing block of two hours that I dedicate towards learning and online courses.
How much did you know about digital marketing before you started?
I guess I knew a lot about the technical aspects of acquiring marketing data from my previous job, like the technicalities of setting up a pixel, Google Analytics’s native connection to BigQuery, setting up Ad Scripts and connecting to APIs with scheduled scripts. There’s also the standard KPIs that I had familiarised myself with, albeit centred around app downloads, so there was a gap of knowledge regarding e-commerce and B2B.
Could you describe a client project that you have enjoyed?
I did a couple of Customer Segmentation/RFM models for a clothing retailer. Segmentation and clustering are always fun, and I like to e.g. go into their websites to gauge prices to then appropriately cut outliers. It’s fun to see patterns emerge from something as seemingly nondescript as purchase history, but my favourite part is coming up with names that describe the behaviours in a cluster.
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