Austin Sansing
Data Analyst
San Angelo, Texas, *6904, 254-***-****, ***************@*****.***
Professional summary
Detail-oriented Data Analyst with 1 year of hands-on experience leveraging Excel, SQL, and Tableau to extract insights, optimize workflows, and support data-driven business decisions. Proven ability to clean, analyze, and visualize complex datasets to uncover trends and deliver actionable recommendations. Employment history
Freelance Data Analyst, Apr 2024 - Present
Remote
Software Engineer Analyst, Jan 2023 - Jan 2024
Surfaceer.io, Houston, Texas
Education
Computer Science
Texas State University, San Marcos, TX
Certifications
Data Analytics Professional Certificate, Jun 2024
MySQL for Data Analytics, Mar 2025
AB
Excel for Data Analytics, Apr 2025
AB
Skills
Excel (Experienced),
SQL (Experienced),
Python (Skillful),
Tableau (Beginner),
Data Visualization
(Beginner),
Data Analysis (Skillful),
Data Modeling (Skillful),
Data Quality (Skillful),
Technical Documentation
(Skillful),
Agile Methodologies
(Skillful).
Links
LinkedIn:
www.linkedin.com,
My Portfolio:
datascienceportfol.io.
Completed 4+ data analysis projects for small businesses and sample corporations/ datasets, delivering actionable insights through reports using Excel, SQL, and Tableau
Designed and implemented data cleaning and transformation workflows, improving dataset accuracy by up to 95%.
Earned industry-recognized certifications, including the Google Data Analytics Professional Certificate, Analyst Builder - MySQL for Data Analytics, and Analyst Builder - Excel for Data Analytics.
Collaborated with 3 developers to design and maintain 3 relational databases using Excel, SQL, and Python, supporting internal analytics and reporting needs.
Reduced data inconsistencies by 30% thought implementation of standardized validation protocols and modern schema design.
Translated stakeholder requirement into technical specs, resulting in a 20% improvement in reporting efficiency and user adoption. Established clear communication workflows between development and business teams, accelerating delivery timelines by 15%.