Data Analytics & Reporting Specialist (Registry Data Steward)

Jobtailor

Miami (FL)

On-site

USD 65,000 - 95,000

Full time

14 days+

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Job summary

Jobtailor in Miami is seeking a data analytics professional to analyze data across databases and build scheduling, utilization, and reporting tools. You will develop dashboards and balanced scorecards to support institutional goals and decision making.

The role requires strong collaborative skills, the ability to learn new procedures, and excellent written and verbal communication. This full-time position is ideal for those who thrive in a data‑driven environment.

Qualifications

  • Associate degree required in a relevant field.
  • Minimum 3 years of relevant experience.
  • Learning agility to adapt to new procedures, technologies, and priorities.
  • Teamwork and ability to work collaboratively.
  • Proficiency with office software and relevant computer applications.
  • Strong written and verbal communication skills.

Responsibilities

  • Analyze data from databases and develop scheduling and utilization reports.
  • Create dashboards and balanced scorecards.
  • Perform data analytics to support institutional goals.
  • Develop and model inventory and supply‑and‑demand analysis.
  • Collaborate with staff and web‑development teams to improve reporting tools.
  • Design, develop, and maintain a dashboard of key information.
  • Adhere to university policies and safeguard university assets.

Skills

Data Analytics
Statistical Reporting
Supply and Demand Analysis
Utilization Reporting
Database Management

Education

Associate Degree

Job description

Jobtailor in Miami is seeking a data analytics professional to analyze data across databases and build scheduling, utilization, and reporting tools. You will develop dashboards and balanced scorecards to support institutional goals and decision making.

The role requires strong collaborative skills, the ability to learn new procedures, and excellent written and verbal communication. This full-time position is ideal for those who thrive in a data‑driven environment.

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