Home › Companies › Capps 701 En › Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV)
Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV)
Capps 701 En · Texas-Austin · Active · $5,425–$7,156 / month · Oracle Taleo Enterprise
Job facts
| Field | Value |
|---|---|
| Company | Capps 701 En |
| Title | Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV) |
| Normalized title | - |
| Department / team | Computer and Mathematical |
| Location | Austin, TX, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | $5,425–$7,156 / month |
| Status | active |
| ATS provider | Oracle Taleo Enterprise |
| Posted / first seen | 2026-06-04 / 2026-06-05 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Capps 701 En. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Taleo Enterprise. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Austin. | Open |
| Department jobs | Active postings in Computer and Mathematical. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Capps 701 En |
| Source | 6fcdb5c0-73fd-4cca-8fb9-496d6ff1ed3d |
| ATS provider | Oracle Taleo Enterprise |
Description
MISSION: The Texas Education Agency (TEA) will improve outcomes for all public-school students in the state by providing leadership, guidance, and support to school systems.
Core Values:
• We are Determined: We are committed and intentional in the pursuit of our main purpose, to improve outcomes for students.
• We are People-Centered: We strive to attract, develop, and retain the most committed talent, representing the diversity of Texas, each contributing to our common vision for students.
• We are Learners: We seek evidence, reflect on success and failure, and try new approaches in the pursuit of excellence for our students.
• We are Servant Leaders: Above all else, we are public servants working to improve opportunities for students and provide support to those who serve them.
New hires, re-hires, and internal hires will typically receive a starting salary between the posted minimum and the average pay of employees in their same classification. Offers will be commensurate with the candidate’s experience and qualifications and will thoughtfully consider internal pay equity for agency staff who perform similar duties and have similar qualifications. The top half of the posted salary range is generally reserved for candidates who exceed the requirements and qualifications for the role. The maximum salary range is reserved for candidates that far exceed the required and preferred qualifications for the role.
This is a 10-day posting, which will close on June 16, 2026 at 11:59pm.
Position Overview: The Division of Educator Data, Research, and Strategy (EDRS) provides analytical leadership and support for departments across the Office of Educator Systems and Support. EDRS supports the Educator Preparation, Certification, and Enforcement (EPCE) department in the collection, reporting, and analysis of data related to the preparation and certification of educators, the oversight of educator preparation programs (EPPs), and the State Board for Educator Certification (SBEC). The PREP Allotment sub-group sits within the EDRS-EPCE unit.
The Data Analyst for PREP Allotment plays a key role in producing data insights for programs connected to the Prep Allotment, which are mandated from House Bill 2 passed in 89th legislative session. Reporting to the Director of Data and Research for the PREP Allotment, the person in this role writes SAS code to extract and transform data sets for delivery to external and internal clients. They develop and maintain key reporting deliverables providing accurate information about initiatives for monitoring and continuous improvement. This analyst builds and updates reports, dashboards, and other data products using Microsoft Office, PowerBi, Smartsheet, and other software tools. The analyst also develops, revises, runs, and troubleshoots SAS programs to systematize data cleaning and analysis. The analyst leverages Extract-Transform-Load (ETL) techniques to optimize data pipelines in the production of data, which is described above. The person assists defining, developing, and implementing data standards, developing quality measures using data, and building procedures to efficiently store and document data. With moderate oversight, this person proposes and implements necessary changes to improve data quality and ensure that reports are efficiently produced and replicable. The analyst works under general supervision with moderate latitude for the use of initiative and independent judgment.
Flexible work location within the state of Texas may be considered for qualified candidates.
Please note that a resume, tailored cover letter, and short answer responses are required attachments for applying to this position. Incomplete applications will not be considered. Applicants who are strongly being considered for employment must submit to a national criminal history background check.
Essential Functions
Job duties are not limited to the essential functions mentioned below. You may perform other functions as assigned.
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 the relationships between data, build data visualizations, interpret findings, identify data patterns, and communicate results and key insights to respond to identified client unit(s). 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 Business Intelligence 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: Conducts quality review of data sets and other analytical products created or received by the EDRS - EPCE unit, acting on feedback from other 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 projects within TEA. Maintain data governance standards, management tools, usage guidelines, and any storage procedures
MISSION: The Texas Education Agency (TEA) will improve outcomes for all public-school students in the state by providing leadership, guidance, and support to school systems.
Core Values:
• We are Determined: We are committed and intentional in the pursuit of our main purpose, to improve outcomes for students.
• We are People-Centered: We strive to attract, develop, and retain the most committed talent, representing the diversity of Texas, each contributing to our common vision for students.
• We are Learners: We seek evidence, reflect on success and failure, and try new approaches in the pursuit of excellence for our students.
• We are Servant Leaders: Above all else, we are public servants working to improve opportunities for students and provide support to those who serve them.
New hires, re-hires, and internal hires will typically receive a starting salary between the posted minimum and the average pay of employees in their same classification. Offers will be commensurate with the candidate’s experience and qualifications and will thoughtfully consider internal pay equity for agency staff who perform similar duties and have similar qualifications. The top half of the posted salary range is generally reserved for candidates who exceed the requirements and qualifications for the role. The maximum salary range is reserved for candidates that far exceed the required and preferred qualifications for the role.
This is a 10-day posting, which will close on June 16, 2026 at 11:59pm.
Position Overview: The Division of Educator Data, Research, and Strategy (EDRS) provides analytical leadership and support for departments across the Office of Educator Systems and Support. EDRS supports the Educator Preparation, Certification, and Enforcement (EPCE) department in the collection, reporting, and analysis of data related to the preparation and certification of educators, the oversight of educator preparation programs (EPPs), and the State Board for Educator Certification (SBEC). The PREP Allotment sub-group sits within the EDRS-EPCE unit.
The Data Analyst for PREP Allotment plays a key role in producing data insights for programs connected to the Prep Allotment, which are mandated from House Bill 2 passed in 89th legislative session. Reporting to the Director of Data and Research for the PREP Allotment, the person in this role writes SAS code to extract and transform data sets for delivery to external and internal clients. They develop and maintain key reporting deliverables providing accurate information about initiatives for monitoring and continuous improvement. This analyst builds and updates reports, dashboards, and other data products using Microsoft Office, PowerBi, Smartsheet, and other software tools. The analyst also develops, revises, runs, and troubleshoots SAS programs to systematize data cleaning and analysis. The analyst leverages Extract-Transform-Load (ETL) techniques to optimize data pipelines in the production of data, which is described above. The person assists defining, developing, and implementing data standards, developing quality measures using data, and building procedures to efficiently store and document data. With moderate oversight, this person proposes and implements necessary changes to improve data quality and ensure that reports are efficiently produced and replicable. The analyst works under general supervision with moderate latitude for the use of initiative and independent judgment.
Flexible work location within the state of Texas may be considered for qualified candidates.
Please note that a resume, tailored cover letter, and short answer responses are required attachments for applying to this position. Incomplete applications will not be considered. Applicants who are strongly being considered for employment must submit to a national criminal history background check.
Essential Functions
Job duties are not limited to the essential functions mentioned below. You may perform other functions as assigned.
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 the relationships between data, build data visualizations, interpret findings, identify data patterns, and communicate results and key insights to respond to identified client unit(s). 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 Business Intelligence 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: Conducts quality review of data sets and other analytical products created or received by the EDRS - EPCE unit, acting on feedback from other 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 projects within TEA. Maintain data governance standards, management tools, usage guidelines, and any storage procedures
Minimum Qualifications
• 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
Other Qualifications
• Share the belief that all Texas students can achieve at high levels and are able to succeed in college, career, or the military
• Experience working with large data sets and educational systems are preferred
• Knowledge of statistical procedures used in the analysis of data sets
• Skill with software & programming languages used for statistical analysis and database interaction, including SAS, SQL, and other applicable programming and statistical languages and packages
• Experience using Qualtrics to design surveys and the ability analyze findings based on responses
• Expertise in developing engaging visualizations of data using Business Intelligence software, PowerBI preferred
• Experience with designing, generating, and updating high-quality reports suitable 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 with analyzing systems and procedures to identify improvements to data production, data reporting, or data analytics
• Communicating clearly, effectively, and appropriately, both verbally and in writing
• Ability to compose, review, and edit technical documents
• Proficient at interpretation and application of guidelines, policies, procedures, laws, and regulations
• Experience with Texas education data preferred
• A desire to self-reflect, give & receive feedback, and continuously improve
• Experience in maintaining effective working relationships with a variety of individuals and groups
As an equal opportunity employer, we hire without consideration to race, religion, color, national origin, sex, disability, age or veteran status, unless an applicant is entitled to the military employment preference.
To review the Military Occupational Specialty (MOS) codes from each branch of the U.S. Armed Forces to each job classification series in the State’s Position Classification Plan (provided by the State Auditor's Office), please access the Military Crosswalk (occupational specialty code) Guide and click on the military “occupational category” that corresponds with the state classification in this job posting title.
This position requires the applicant to meet Agency standards and criteria which may include passing a pre-employment criminal background check, prior to being offered employment by the Agency.
To learn more about working at TEA, including hiring timelines, process details, and candidate resources, please visit the Employment at TEA page .
No phone calls or emails, please. Due to the high volume of applications, we do not accept telephone calls and cannot reply to all email inquiries. Only candidates selected for interview will be contacted. Please add "[email protected]" and "@tea.texas.gov" to your safe senders list to ensure you receive email notifications from our talent acquisition team and/or hiring division regarding your candidacy.
Minimum Qualifications
• 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
Other Qualifications
• Share the belief that all Texas students can achieve at high levels and are able to succeed in college, career, or the military
• Experience working with large data sets and educational systems are preferred
• Knowledge of statistical procedures used in the analysis of data sets
• Skill with software & programming languages used for statistical analysis and database interaction, including SAS, SQL, and other applicable programming and statistical languages and packages
• Experience using Qualtrics to design surveys and the ability analyze findings based on responses
• Expertise in developing engaging visualizations of data using Business Intelligence software, PowerBI preferred
• Experience with designing, generating, and updating high-quality reports suitable 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 with analyzing systems and procedures to identify improvements to data production, data reporting, or data analytics
• Communicating clearly, effectively, and appropriately, both verbally and in writing
• Ability to compose, review, and edit technical documents
• Proficient at interpretation and application of guidelines, policies, procedures, laws, and regulations
• Experience with Texas education data preferred
• A desire to self-reflect, give & receive feedback, and continuously improve
• Experience in maintaining effective working relationships with a variety of individuals and groups
As an equal opportunity employer, we hire without consideration to race, religion, color, national origin, sex, disability, age or veteran status, unless an applicant is entitled to the military employment preference.
To review the Military Occupational Specialty (MOS) codes from each branch of the U.S. Armed Forces to each job classification series in the State’s Position Classification Plan (provided by the State Auditor's Office), please access the Military Crosswalk (occupational specialty code) Guide and click on the military “occupational category” that corresponds with the state classification in this job posting title.
This position requires the applicant to meet Agency standards and criteria which may include passing a pre-employment criminal background check, prior to being offered employment by the Agency.
To learn more about working at TEA, including hiring timelines, process details, and candidate resources, please visit the Employment at TEA page .
No phone calls or emails, please. Due to the high volume of applications, we do not accept telephone calls and cannot reply to all email inquiries. Only candidates selected for interview will be contacted. Please add "[email protected]" and "@tea.texas.gov" to your safe senders list to ensure you receive email notifications from our talent acquisition team and/or hiring division regarding your candidacy.
Full job record
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| Board ID | 6fcdb5c0-73fd-4cca-8fb9-496d6ff1ed3d |
| Provider | oracle_taleo |
| Provider Job Key | 95794 |
| Title | Data Analyst for Preparing and Retaining Educators through Partnerships (PREP) Allotment (Data Analyst IV) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Texas-Austin |
| Department | Computer and Mathematical |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | TX |
| City | Austin |
| Salary Raw | $5,425.33 - $7,155.75 per month |
| Salary Min | 5,425.33 |
| Salary Max | 7,155.75 |
| Salary Currency | USD |
| Salary Period | month |
| Source URL | https://capps.taleo.net/careersection/701/jobdetail.ftl?job=95794&lang=en |
| Apply URL | https://capps.taleo.net/careersection/701/jobdetail.ftl?job=95794&lang=en |
| First Seen At | 2026-06-05 01:52:46Z |
| Last Seen At | 2026-06-06 13:47:05Z |
| Last Checked At | 2026-06-06 13:47:05Z |
| Last Changed At | 2026-06-06 13:47:05Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 14:38:04Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_taleo/board=capps|701|en/date=2026-06-06/2026-06-06T13-47-04-335Z-a3f7e0bc077cde5af8cee97a7e8c0b910a2be95868d9953314b2e6079f0bc72c.json |
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