73 Data Analyst Jobs in Austin, TX
Texas Research Institute Austin is Hiring a Data Analyst Near Austin, TX
Description
Texas Research Institute (TRI) Austin is seeking a data analyst.
Headquartered in southwest Austin, TX, TRI Austin has been successfully performing research and development for over 45 years. We are a small (~50 employees) company which focuses on developing advanced materials, sensors, nondestructive evaluation techniques, and materials testing. Please visit our website at https://tri-austin.com.
As a data analyst at TRI Austin, you will be responsible for using commercial and in-house developed software toolsets to analyze and manage large scientific and engineering datasets. This may include performing statistical analysis of and interpreting the results of large non-destructive inspection datasets.
From this, you will identify and make recommendations for the improvement of the existing software base and analytics used.
In addition to interpretation, the ability to effectively communicate the analysis process and the results are required through writing and presentations.
Other duties are as required. Salary: $75k DOE
The ability to acquire and maintain a Department of Defense (DoD) security clearance is mandatory for this position. For additional information, see: https://www.dss.mil/ma/tw/dvd/vroc/faqs/
This position is an IN-PERSON / IN-OFFICE position. NO PHONE CALLS PLEASE
Funding for this position is provided by U.S. Government DoD contracts. Funding is expected to continue but is subject to change due to contract turnover and renewal.
TRI Austin is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. TRI Austin is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Requirements
The ability to acquire and maintain a Department of Defense (DoD) security clearance is mandatory for this position. For additional information, see: https://www.dss.mil/ma/tw/dvd/vroc/faqs/
Required Expertise
- Statistics and/or Data Science using Python, R, etc.
- Strong mathematics skills
- Communicate analytical conclusions in a straightforward manner
- Development in both Windows 7/10 and Linux
- Bachelor’s Degree in Data Science, Mathematics, Engineering, or Computer Science
- Eligible for DoD security clearance
Preferred Expertise
- Algorithm development
- Strong writing skills
- Strong mathematics skills
- Experience deploying machine learning capabilities for data science
- Interest in software architecture, patterns, and state of the art optimization techniques
- Master’s Degree in Data Science, Mathematics, Engineering, or Computer Science
This position is an IN-PERSON / IN-OFFICE position. NO PHONE CALLS PLEASE
Funding for this position is provided by U.S. Government DoD contracts. Funding is expected to continue but is subject to change due to contract turnover and renewal.
TRI Austin is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. TRI Austin is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Job Summary
Full Time
$92k-120k (estimate)
10/29/2022
05/16/2024
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Data analysts typically work with existing data to solve defined business problems.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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