Biggest Challenges Faced By A Data Analyst At A Fortune 100 Tech Company
A major challenge for Dennis, a Data Analyst at a Fortune 100 tech company, is data availability, stating that "sometimes the question that you have to answer requires a level of data maturity that a lot of companies don't have". This necessitates problem-solving skills, including determining if "can I get that data? ... is there some sort of source to pull from and then merge everything?", and potentially advocating for improved company resources to better support data analysis.
Data Analysis, Problem-Solving, Data Acquisition, Resource Management, Overcoming Challenges
Advizer Information
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Job Title
Company
Undergrad
Grad Programs
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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. Data availability and quality can be significant hurdles in data analysis projects.
2. The ability to creatively solve problems with limited data is a crucial skill.
3. Expanding a company's data resources to improve future analysis is a valuable contribution of a data analyst.
Transcript
What are some of the biggest challenges in your current role?
Some of the challenges in data analysis involve needing the right type of datasets, which are sometimes unavailable. It can be difficult to determine if the necessary data exists and if there's a source to pull from and merge.
This becomes especially challenging because the questions you need to answer often require a level of data maturity that many companies lack. However, this is also part of the problem-solving aspect of the role.
It's about being able to answer a question with the resources you currently have. Additionally, you might consider if you can expand your company's resources to answer those questions more effectively.
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