Ernie: My Data Analyst Career Journey
Today, we're bringing you an interview with Ernie, who works in clinical research - sharing his data analyst career journey with us, and helpful tips for those looking for their first data analyst role
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Today, we're bringing you an interview with Ernie, who works in clinical research - sharing his data analyst career journey with us, and helpful tips for those looking for their first data analyst role
Hi Alex, I'm Ernie! I live in Texas and work in clinical research.
Currently, I am a Clinical Data Manager for a pharma/biotech company. I started out working as a Clinical Data Associate, but was able to work my way through the ranks from Associate, to Analyst, and finally to Manager. My day to day consists of database construction, maintenance, and preparing reports and data analyses of our studies, to later be reviewed by the FDA.
Before I worked in the data sector of clinical research, I was doing quality control for ethical research review boards, and before that was working hands-on with patients collecting study data. My first data-driven role was a Clinical Data Associate, where I was doing database upkeep. Basically maintaining a clinical research database and doing data cleaning and prep. After I exhibited a strong ability to manipulate data in Python, I was promoted to Analyst, and later Manager. Most of my roles consist of the production of data reports to be used by different departments in our company, or for the regulatory side.
The most exciting part of working in Data Analytics for me is its versatility. You can use Data Analytics for every aspect of your life. From your career, to home-buying, to personal projects, being able to manipulate data and find trends is an incredibly handy tool.
I started with college coursework in Data Analytics. After that, most of what I learn is on an as-needed basis. I will have a project at work and realize I'm doing it inefficiently, so off to YouTube I go! It's not too much work to keep up with the changing industry. I haven't been in the industry long enough to see that much change in my field.
In my experience, one of the most important factors in a data-focused career is the ability to communicate with teams. When verbally describing reports, or large datasets, it is very difficult to conceptualize what someone might want. Don't be afraid to make mock reports and analyses just to make sure you're on the same page with the person requesting analyses. Often times, I will see coworkers spend hours or days on projects, only to realize most of it is incorrect due to a miscommunication from the start. Ask questions, give examples, and verify intent!
The advice I'd give to someone trying to get into the industry is: don't overestimate your competition. Many people just assume everyone else is an expert. They're not! I've seen people in high level data roles that are only just starting to learn how to program! Most of what I use daily could be learned on the job as you go, without much prior knowledge.
Nothing really specific I'd like to add. Love your website, hope it's a huge success!
AI will probably change the future of many industries. I think anyone trying to estimate how is just wildly speculating. Time will tell!
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