A Day In The Life Of A Data Analyst At A Fortune 100 Tech Company
A data analyst's day-to-day tasks vary greatly, depending on the "season" and client requests; some days involve quickly answering questions with a "direct message," while other days require compiling extensive analyses into presentations for "a bigger decision-making team." The overarching goal is to use available data sets to provide insightful answers and support client needs.
Data Analysis, Problem-Solving, Communication, Project Management, Compensation
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Dennis Pham
Data Analyst
Fortune 100 Tech Company
San Diego State University 2009
None
Business Management & Admin
Technology
Data and Analytics
Pell Grant Recipient, Took Out Loans, Worked 20+ Hours in School
Video Highlights
1. The day-to-day tasks of a data analyst vary, influenced by factors such as the time of year and specific client requests.
2. A data analyst prioritizes tasks based on urgency and client needs, sometimes providing quick answers and sometimes creating presentations for larger decision-making teams.
3. Data analysts use various data sets to answer client questions and provide insightful analysis, impacting company decisions
Transcript
What does a day in the life of a data analyst look like?
It definitely doesn't look the same every day. However, especially in compensation, there is a specific season and schedule. We refresh our data twice a year.
So it really depends on the time of year and the year itself. Sometimes you'll get a question from one of your client leads that will require a specific set of data.
On Monday, I might need to answer three questions from client teams. I'll go in and prioritize which ones to answer first, then start pulling the data and putting together my analyses.
Some of this can be done within a day. I can shoot out a direct message with the findings. Other times, it's for a bigger decision-making team.
In those cases, I'll have to put together a deck. It's about providing what I found and how it aligns with broader goals. It really depends.
Sometimes the request seems super small, but overall, I'm just trying to answer questions as best as I can with the available data. My goal is to provide any type of insight I can to my clients.
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