Senior Data Analyst & BI Engineer, Maestro RIS

Texas A&M University; College Station (TX); On-site; USD 72,000 - 98,000; Full time

Job summary

Texas A&M University’s Research Information Systems department seeks a RIS Senior Data Analyst to develop, maintain, and enhance Maestro components, data warehouses, and reports. You will interpret data, design solutions, and work within the full software lifecycle using standard tools.

The role requires collaboration with stakeholders, strong analytical skills, and experience with ETL and BI tools. Onsite College Station, TX, with standard working hours and potential overtime.

Qualifications

• Bachelor's degree or equivalent combination of education and experience.
• Two years of software development experience.
• Experience with reporting tools such as Jaspersoft/Power BI is preferred.
• Familiarity with data warehousing concepts and ETL processes.

Responsibilities

• Develops low-to-moderately complex RIS applications, data warehouse, reports and databases.
• Diagnoses, tunes and resolves performance issues.
• Maps external source system data to data warehouse models.
• Analyzes, interprets, prepares, maintains, and presents historical data.
• Develops and tests Maestro components across multiple functional areas.

Skills

Interpersonal skills

Verbal communication

Written communication

Multi-tasking

Deadline-oriented

Problem solving

Documentation

Team collaboration

Education

Bachelor's degree

Tools

JIRA

Power BI

Snowflake

Oracle

PL/SQL

Data Warehouse

ETL Tools

Bitbucket

Job description

Texas A&M University’s Research Information Systems department seeks a RIS Senior Data Analyst to develop, maintain, and enhance Maestro components, data warehouses, and reports. You will interpret data, design solutions, and work within the full software lifecycle using standard tools.

The role requires collaboration with stakeholders, strong analytical skills, and experience with ETL and BI tools. Onsite College Station, TX, with standard working hours and potential overtime.