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Data Research Coordinator Jobs in Tennessee

Mgr, Data Research Programs
By Vanderbilt University Medical Center At Nashville, TN, United States
Manage up to date lists of all user accounts granted access for each project
Design and build paper data entry forms (in Word) first
REDCap project mirrors paper data entry form
Define and manage all necessary Data Access Groups (DAGs)
TIPQC / TDH instance of REDCap
New user accounts (NOTE: New user accounts must be “approved”)
Research/Data Pipeline Jobs
By AutoZone At Memphis, TN, United States
Collaborate with management to develop an understanding of needs.
Master’s degree in statistics, information systems, data science, analytics, engineering, finance, or another related field.
Excellent communication skills; persuasive in presenting complex data and concepts to non-technical audiences.
Participate in the various stages of the new store approval process and perform ad-hoc analysis to answer questions from the Executives.
Collaborate with different functional teams using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions.
Serve as the spatial analytics hub for the entire organization and answer any question with a “where” component.

Are you looking for an exciting opportunity to use your data research skills to make an impact? We are looking for a Data Research Coordinator to join our team and help us uncover valuable insights from our data. You will be responsible for designing and executing research projects, analyzing data, and presenting your findings to stakeholders. If you are passionate about data and have a knack for uncovering hidden trends, this could be the perfect job for you!

Overview:

Data Research Coordinators are responsible for collecting, organizing, and analyzing data for research projects. They work with a variety of data sources to ensure accuracy and completeness of data and to develop meaningful insights. They also develop and maintain databases, create reports, and present findings to stakeholders.

Detailed Job Description:

Data Research Coordinators are responsible for collecting, organizing, and analyzing data for research projects. They work with a variety of data sources to ensure accuracy and completeness of data and to develop meaningful insights. They also develop and maintain databases, create reports, and present findings to stakeholders. Data Research Coordinators must have strong analytical and problem-solving skills, as well as the ability to interpret data and draw conclusions. They must also be able to communicate effectively with stakeholders and colleagues.

What is Data Research Coordinator Job Skills Required?

• Strong analytical and problem-solving skills
• Ability to interpret data and draw conclusions
• Ability to communicate effectively with stakeholders and colleagues
• Knowledge of data analysis tools and techniques
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of research methods and techniques
• Ability to work independently and as part of a team

What is Data Research Coordinator Job Qualifications?

• Bachelor’s degree in a related field such as computer science, statistics, mathematics, or economics
• Experience with data analysis tools and techniques
• Experience with database management systems
• Experience with statistical software
• Experience with research methods and techniques

What is Data Research Coordinator Job Knowledge?

• Knowledge of data analysis tools and techniques
• Knowledge of database management systems
• Knowledge of statistical software
• Knowledge of research methods and techniques

What is Data Research Coordinator Job Experience?

• Experience with data analysis tools and techniques
• Experience with database management systems
• Experience with statistical software
• Experience with research methods and techniques

What is Data Research Coordinator Job Responsibilities?

• Collect, organize, and analyze data for research projects
• Develop and maintain databases
• Create reports and present findings to stakeholders
• Monitor data accuracy and completeness
• Develop meaningful insights from data
• Communicate effectively with stakeholders and colleagues