Data Preparation Jobs

2 jobs found

1mo ago

Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV)

TEXAS EDUCATION AGENCY Austin, TX

Austin, TX

1mo ago Closed

$5,425 - $7,156/mo Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jul 10, 2026).

Job Description

The Data Analyst for PREP Allotment at the Texas Education Agency is an onsite role in Austin, TX focused on SAS based data extraction, reporting, and governance to support PREP Allotment initiatives.

Responsibilities

Design, develop, test, and execute SAS code to query, compile, and manipulate data required for PREP Allotment client units; perform complex analysis on data relationships, build visualizations, interpret findings, identify patterns, and communicate results and key insights to respond to identified client units; support the creation of state, federal, and internal reporting, including Public Information Requests
Design, develop, test, and implement data collection tools including surveys and forms using software such as Qualtrics and Smartsheet's; review and manipulate collected data using SAS and BI software to identify trends, generate insights, and present key findings to identified client units
Serve as an essential partner to identified client units, guide decision-making, and align EDRS collaborations with clients' needs and goals
Conduct quality reviews of data sets and other analytical products created or received by the EDRS - EPCE unit, acting on feedback from team members to systematically improve data and visualization products
Develop, implement, test, and document technical work related to the EDRS-EPCE unit and other TEA internal projects; maintain data governance standards, management tools, usage guidelines, and storage procedures

Requirements

Education: Graduation from an accredited four-year college or university
Experience: At least three (3) years of experience in data analysis, research, compilation, and/or reporting work
Substitutions: An advanced degree may substitute for two years of required experience
Belief that all Texas students can achieve at high levels and succeed in college, career, or the military
Experience working with large data sets and educational systems is preferred
Knowledge of statistical procedures used in the analysis of data sets
Proficiency with software and programming languages used for statistical analysis and database interaction, including SAS, SQL, and other applicable languages and packages
Experience using Qualtrics to design surveys and analyze findings based on responses
Expertise in developing engaging data visualizations using BI software, with Power BI preferred
Experience designing, generating, and updating high-quality reports for a range of audiences based on user requirements
Ability to plan, organize, and manage multiple work streams using project management techniques with general supervision
Experience analyzing systems and procedures to identify improvements to data production, reporting, or analytics
Strong communication skills, both verbal and written
Ability to compose, review, and edit technical documents
Proficiency in interpreting and applying guidelines, policies, procedures, laws, and regulations
Experience with Texas education data is preferred
Desire to self-reflect, give and receive feedback, and continuously improve
Ability to maintain effective working relationships with a variety of individuals and groups

Technologies

SAS
SQL
Qualtrics
Smartsheet
Power BI
Microsoft Office

Essential Functions

1. Client support: Datasets and Reports — Design, develop, test, and execute SAS code to query, compile, and manipulate data required for PREP Allotment client units; perform complex analysis on data relationships, build data visualizations, interpret findings, identify data patterns, and communicate results and key insights to respond to identified client units; support the creation of all necessary state, federal, and internal reporting, including Public Information Requests
2. Client support: Data Collection tools — Design, develop, test, and implement data collection tools including surveys and forms using software such as Qualtrics and Smartsheet's; review and manipulate collected data using SAS and BI software to identify trends, generate insights, and present key findings to identified client units
3. Client support: Strategic Advising — Serve as an essential partner to identified client units, guide decision-making and align EDRS collaborations with clients' needs and goals
4. Quality Assurance — Conduct quality reviews of data sets and other analytical products created or received by the EDRS-EPCE unit, acting on feedback from team members to systematically improve data and visualization products
5. Documentation — Develop, implement, test, and document technical work related to the EDRS-EPCE unit and other internal TEA projects; maintain data governance standards, management tools, usage guidelines, and storage procedures

View full job page →

1mo ago

Data Center Analytics Engineer

Google Austin, TX

Austin, TX

1mo ago Closed

$120k - $172k/yr Full time Advanced Analytics Analytics Artificial Intelligence

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Google is seeking a Data Center Analytics Engineer based in Austin, TX, onsite. The role focuses on designing and delivering analytics, AI integrations, and data engineering solutions for Google's data centers, including custom web applications and on-demand insights.

Location

Austin, TX (onsite)

Salary

USD 120,000 - 172,000 per year

Responsibilities

Design and implement advanced analytics, AI/ML integrations, and rich data visualizations.
Own data engineering workstreams, including data acquisition, data pipelining, data quality, data prep, and data warehousing.
Collaborate with team members in delivering custom web applications.
Engage stakeholders and partner teams to understand business needs and develop solutions to testing business problems.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5 years of experience in delivering analytics and data science applications.
5 years of experience in data engineering.

Benefits

Bonus
Equity
Benefits

About the Job

The Data Center Quality Analytics team delivers automated insights for improving quality and operations in Google’s data centers.

Preferred Qualifications

Experience with Machine Learning and AI Integrations.
Experience with web development.

View full job page →

Get Data Preparation Jobs alerts

New Data Preparation Jobs, daily.