Title III, Data Analyst

Lamar University
Beaumont, TX, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$41,809.0 - $54,352.0
Working hours
Shift work
Job source

Tech stack

A/B Testing Data Analysis Information Systems Computer Programming Computer Literacy Data Validation Data Dictionary Data Governance Data Integrity Data Transformation Data Systems Data Visualization
+14 more
Relational Databases Decision Support Systems Federal Information Processing Standards (FIPS) R (Programming Language) Python (Programming Language) Logistic Regression Power BI Student Information Systems SQL Databases Tableau (Software) Information Technology Data Analytics Performance Monitor Data Management

Job description

The Title III, Data Analyst performs professional-level analytical work in support of the Title III Strengthening Institutions Program. The position is responsible for developing and maintaining data systems; conducting quantitative analyses; producing institutional and federally required reports; and supporting performance measurements related to enrollment, retention, persistence, and graduation outcomes.

Work involves extracting and managing data from institutional systems; applying statistical and predictive modeling techniques; ensuring data integrity and regulatory compliance; and providing analytical decision support to Title III leadership and university stakeholders. The position exercises independent judgment in selecting analytical methodologies, interpreting findings, and communicating results within established grant and institutional guidelines.

Essential Job Functions

Data Management and Infrastructure Development:

  • Design, develop, and maintain structured datasets and data workflows supporting Title III initiatives.
  • Extract, clean, validate, and integrate data from institutional systems and external sources.
  • Develop documentation, data dictionaries, and reproducible processes to ensure continuity and accuracy.

Advanced Data Analysis and Predictive Modeling:

  • Conduct descriptive, inferential, and predictive analyses related to student success metrics.
  • Develop and refine statistical models to identify trends and assess program effectiveness.
  • Apply appropriate statistical methodologies and validate analytical outputs

Reporting and Visualization:

  • Prepare recurring and ad hoc reports required for internal leadership and federal grant reporting.
  • Develop dashboards and visualizations to communicate key performance indicators and trends.
  • Present analytical findings in formats suitable for technical and non-technical audiences.

Strategic and Operational Decision Support:

  • Collaborate with Title III leadership and campus stakeholders to define data needs and performance measures.
  • Provide analytical insight to inform program planning and continuous improvement efforts.
  • Support strategic planning and evaluation initiatives within the Title III Office.

Data Governance, Compliance, and Quality Assurance:

  • Ensure compliance with FERPA, federal reporting standards, and institutional data governance policies.
  • Conduct data validation procedures to maintain integrity, consistency, and reliability of data outputs.

Grant Evaluation and Performance Monitoring:

  • Monitor performance metrics aligned with Title III objectives.
  • Assist with preparation and documentation of federal performance reports and audit-related materials., * Data management principles and relational database structures
  • Student success metrics and institutional effectiveness frameworks
  • Federal grant compliance and reporting standards
  • Statistical analysis methods and quantitative modeling techniques
  • Data management principles and relational database structures
  • Student success metrics and institutional effectiveness frameworks
  • Federal grant compliance and reporting standards
  • Advanced quantitative and analytical reasoning
  • Technical programming proficiency (Python, SQL, R)
  • Data visualization and report development
  • Written and verbal communication for varied stakeholder groups
  • Exercise independent judgment in selecting analytical approaches
  • Interpret complex data and translate findings into actionable recommendations
  • Maintain confidentiality of sensitive student information
  • Manage multiple projects and deadlines in a grant-funded environment

Requirements

Do you have experience in Technical report writing?, Do you have a Bachelor’s degree?, * Bachelor’s degree in data Analytics, Statistics, Computer Science, Information Systems, Mathematics, or a closely related STEM field.

  • Two (2) years of professional experience in data analysis, institutional research, business intelligence, or a related analytical role; may be replaced with a master’s degree in a closely related STEM field.
  • Demonstrated proficiency in at least one analytical programming language (e.g., Python, R) and structured query language (SQL).
  • Experience working with relational databases and large structured datasets.
  • Experience extracting, cleaning, validating, and transforming data from multiple sources.
  • Experience preparing analytical reports, summaries, or dashboards for operational or strategic decision-making.
  • Knowledge of statistical analysis principles and quantitative methodologies.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to communicate technical findings effectively to non-technical audiences.
  • Ability to maintain confidentiality and comply with FERPA and institutional data governance standards., * Master’s degree in Data Science, Statistics, Analytics, or related field.
  • Experience in higher education analytics, institutional research, or student success initiatives.
  • Experience supporting federally funded grant reporting (e.g., Title III, Title V, NSF).
  • Experience developing predictive models (e.g., logistic regression, cohort modeling, time-series analysis, A/B testing).
  • Experience with data visualization platforms (e.g., Power BI, Tableau, or similar business intelligence tools).
  • Experience documenting data processes, creating data dictionaries, or supporting audit/reporting requirements., * Prolonged periods of sitting and computer use.
  • Ability to operate standard office equipment.
  • Ability to communicate effectively in person and electronically.
  • Occasional lifting of up to 15 pounds.

Benefits & conditions

  • Extensive use of computer systems and institutional databases
  • Occasional evening or weekend work may be required to meet reporting deadlines
  • Position is contingent upon continued grant funding

About the company

Home to more than 18,000 students, Lamar University is among the fastest growing Texas colleges and universities. LU is a member of The Texas State University System, which is the first higher education system of Texas and maintains the lowest average tuition and fees of any university system in Texas. With more than 120-degree options and a community that cares, Lamar students are always proud to be Cardinals. Lamar University strives to educate leaders, demonstrate excellence in student learning and career readiness, and pursue research with relevance.

Lamar University is committed to fostering an environment of teamwork where all students, faculty, and staff can learn, work, and become a part of our community.

Lamar University is An Equal Opportunity Employer

Lamar University is proud to provide employment preference to veteran applicants in accordance with Texas 805 Government Code, Section 657.003.

This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215, which authorizes the employer to obtain criminal history record information.

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