Favorite Parts of Working in the Data Analytics Industry as a Data Analytics and Reporting Manager
As a Data Analytics and Reporting Manager at the University of San Diego, Christian enjoys the work-from-home options and autonomy offered in their field, allowing for flexibility in working hours; they also appreciate that "statistics are statistics," providing a stable foundation of knowledge applicable to almost any industry, offering immense versatility in career paths.
Data Analysis, Work-Life Balance, Statistics, Versatility, Remote Work
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Christian Guerra
Data Analytics and Reporting Manager
University of San Diego
Cal State University Los Angeles
UC Riverside - PhD
Anthropology, Sociology, Criminal Justice
Education
Data and Analytics
Transfer Student, First Generation College Student
Video Highlights
1. Work from home options and autonomy are common in data analytics roles, offering flexibility in when and how you work.
2. A strong foundation in statistics is crucial as it's a stable science, though staying updated with emerging technologies like AI is also important.
3. Data analytics is versatile and applicable across various industries (healthcare, education, sales, etc.), providing diverse career opportunities in different sectors.
Transcript
What do you enjoy the most about being in your industry?
What do I enjoy the most about being in my industry? The fact that a lot of positions are work from home. There's a lot of autonomy.
I could work on data stuff whenever I have time; I could work late into the night. So there's a lot of autonomy involved with it, and a lot of work from home options.
Statistics is a hard science; it doesn't change from year to year. Statistics are statistics. So as long as you know statistics and data analysis very well, things aren't going to change much year to year, except for new emerging technologies like AI.
What's also really good about data analytics is you can apply it to almost any industry: healthcare, education, sales, marketing, or any problem you have. You can apply data analysis too, if you have the data.
There's a lot of versatility with data analytics. You could work at a bank, a hospital, or a small business. You can work in so many different places.