Data Analyst 2

University of Miami•Miami, FL

1d•Onsite

About The Position

The University of Miami, College of Arts and Sciences has an exciting opportunity for a full time Data Analyst 2 to work in Miami, FL. Our department has an exciting opportunity for a full-time Data Analyst. The Data Analyst will be responsible for analyzing and interpreting data for several research projects, with the primary projects at the time of hire being 1) an NIMH-funded implementation grant and (2) an NIMH-funded intervention development. The applicant should demonstrate both experience with and interest in community health. Having the ability to manage and prioritize multiple projects simultaneously is key. The applicant will be responsible for preparing data, conducting statistical analyses, and summarizing results for a variety of research projects. The Data Analyst 2 performs a variety of data analyses using various techniques. The Data Analyst 2 assists in developing or implementing systems to capture business operation information. The Data Analyst 2 analyzes data to ensure the accuracy of reported information and generated reports and identifies opportunities to enhance data collection and analysis. The incumbent works collaboratively with other internal areas and may guide less experienced data analysts.

Requirements

Bachelor’s degree in relevant field required.
Minimum 3 years of relevant experience required.
Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
Teamwork: Ability to work collaboratively with others and contribute to a team environment.
Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Any relevant education, certifications and/or work experience may be considered.

Nice To Haves

Experience with and interest in community health.

Responsibilities

Performs data analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, and data mining.
Determines best practices and recommends actionable insights for the current business operations.
Performs ad-hoc analyses and reporting, to aid management in the decision-making process.
May build dashboards or reporting systems for end users about the assigned project(s).
Provides business data interpretation, such as identifying trends or patterns of data sets.
Assists in the dissemination and reporting of data, which may include presentations, workshops, and related activities.
Analyzes data to ensure accuracy and reports any issues to management.
Identifies opportunities to enhance data collection and analysis.
Assists in developing or implementing systems to capture business operation information.
Adheres to University and unit-level policies and procedures and safeguards University assets.