Data Analyst

Employer: Florida Memorial University
Location: Florida, United States
Salary: Salary Not Specified
Posted Date: Sep 28, 2023

Position Type: Faculty Positions, Science, Technology & Mathematics, Statistics, Administrative, Academic Affairs, Institutional Research & Planning, Research Administration, Business & Administrative Affairs, Computer Services & Information Technology, Chief Technology & Information Officers
Employment Type: Full Time

The Data Analysis shall have the primary responsibilities in building and maintaining the data warehouse and Student Information System (SIS) for the Office of Institutional Effectiveness and Institutional Research. Provide emergency 24/7 on-call support on a rotating basis.

Essential Functions:

Assist in the design, development, and implementation of the data warehouse.
Work closely with senior analysts to integrate data from various sources.
Support the maintenance and updates of the SIS.
Ensure data accuracy and integrity within the SIS.
Generate reports and dashboards to support institutional research.
Assist in data analysis projects to inform decision-making processes.
Perform data validation and cleaning to ensure high data quality.
Troubleshoot and resolve data inconsistencies and anomalies.
Collaborate with cross-functional teams to meet data requirements.
Communicate effectively with stakeholders to gather requirements and provide updates.
Document all processes, methodologies, and data dictionaries.
Maintain up-to-date records of database architecture and schemas.

Required Knowledge, Skills, and Abilities:

Analytical Thinker: Capable of dissecting complex data issues and thinking deeply to provide solutions.
Team Player: Collaborates effectively with cross-functional teams and contributes positively to the group dynamic.
Detail-oriented: Ensures high data quality by paying meticulous attention to all details necessary to get the task done well.
Innovative: Bring new ideas to the table for data management and analysis, demonstrating original thinking.
Dedicated: Shows unwavering commitment to the goals of the Office of Institutional Effectiveness and Institutional Research.
Effective Communicator: Capable of conveying complex data-related information in a clear and understandable manner to various stakeholders.
Enthusiastic: Displays intense and eager enjoyment and interest in data analytics and institutional research.
Technical Aptitude: Shows a strong understanding of database management systems and is willing to continuously learn new tools and technologies.
Integrity and Accountability: Takes responsibility for tasks and decisions, and conducts all work with the highest level of integrity.
Demonstrate a high level of professionalism, initiative, resourcefulness, and personal accountability.
Moderate physical activity. Requires handling objects of average weight up to fifty (50) pounds or standing and/or walking for more than four (4) hours per day.
Note: In compliance with the American Disabilities Act (ADA), those functions of the job which are identified as essential are required to be performed with or without reasonable accommodations. Requests to facilitate the performance of essential functions will be given careful consideration.

Qualifications:

Bachelor’s degree in a relevant field (e.g. Statistics, Data Science, Mathematics) required: master’s or Ph.D. preferred.
Proficiency in statistical analysis software (e.g. R, Python, SPSS) and data visualization tools (e.g.... Tableau). Strong quantitative and analytical skills with the ability to work large.
Knowledge of research methodologies and statistical techniques.
Excellent communication skills to convey complex findings to non-technical stakeholders.
Attention to detail and the ability to work independently and as part of a team.
Familiarity with academic research environments and ethics.
Ability to perform complex tasks and prioritize multiple projects.
Proficiency in MS Office Suite, LinkedIn Learning, as well as knowledge and understanding of the organizational structure, workflow, and operating procedures. Familiar with Jenzabar technology suite for higher education.
Flexibility to work outside of normal business hours, ability to maintain a flexible work schedule that may include working nights and weekends.
Pre-employment screening is required: criminal background check and drug testing.

Data Analyst

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