Spss Data Entry Jobs (NOW HIRING)

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Breast Cancer Taskforce

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (9:00:00 AM - 5:30:00 AM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $20.19 - $31.80 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
Equal Hope is a non-profit sitting on the Rush University Medical Center Campus. Equal Hope is dedicated to eradicating women’s health racial, ethnic and class disparities and is a mission-oriented healthcare justice organization. Equal Hope is seeking a dedicated Data Coordinator to work with our consortium and research projects to support the organization and implementation of key initiatives. The Data Coordinator will play a critical role in managing and analyzing data to inform decision-making, project planning, and outcomes evaluation.

Required Job Qualifications:
•Bachelor's degree in data management, statistics, public health, or a related field.
•Experience in data collection, analysis, and management, preferably in a research or consortium setting.
•Proficiency in data management software, database systems, and statistical analysis tools.
•Strong analytical skills and attention to detail in handling complex datasets.
•Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders.
•Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.
•Knowledge of research methods, data ethics, and regulatory requirements in data management.
•Flexibility to adapt to evolving project needs and contribute to a team-oriented work culture.
•Commitment to data accuracy, confidentiality, and integrity in handling sensitive information.
•Proficiency in Microsoft Office suite, data analysis software (e.g., SPSS, R, Stata), and data visualization tools.
Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.

Job Responsibilities:

•Collect, organize, and maintain data from consortium and research projects, ensuring accuracy, completeness, and confidentiality.
•Manage databases and data systems, including data entry, updates, and quality control to ensure data integrity and reliability.
•Conduct data analysis, generate reports, and visualize data to support project objectives, identify trends, and communicate findings to stakeholders.
•Assist in the planning, implementation, and monitoring of consortium and research projects by providing data support and analysis as needed.
•Work closely with project teams, researchers, and external partners to coordinate data collection efforts, streamline processes, and facilitate data sharing.
•Conduct data quality checks, resolve discrepancies, and ensure compliance with data management standards and protocols.
•Maintain detailed documentation of data sources, protocols, and analysis procedures for transparency and reproducibility.
•Provide training and support to project staff on data collection tools, database use, and data analysis techniques.
•Prepare regular progress reports, data summaries, and presentations for internal and external stakeholders to communicate project status and findings.
•Ensure compliance with data privacy regulations, research ethics guidelines, and institutional policies related to data management and protection.
•Identify opportunities for process improvement, data standardization, and adoption of best practices in data management and analysis.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.