Data Analyst II

University of Pittsburgh - Pittsburgh, PA

Full-time - Mid Level

Pittsburgh, PA

Educational Services

About the position

The Office of Health Sciences Diversity, Equity, and Inclusion (OHSDEI) is seeking a dedicated and skilled Data Analyst II to join their team. This role is pivotal in collecting, analyzing, and interpreting data to support various research initiatives and enhance the office's written content, training programs, and strategic communications. The Data Analyst will work under the supervision of the Associate Vice Chancellor for Diversity, Equity, and Inclusion - Health Sciences, and will be responsible for gathering data from the six Pitt Health Sciences schools, which include the School of Medicine, School of Dental Medicine, School of Public Health, School of Health and Rehabilitation Sciences, School of Pharmacy, and the School of Nursing. The position requires collaboration with researchers, scientists, and other stakeholders to ensure the data collected is relevant and useful for ongoing projects and initiatives. In this role, the Data Analyst will lead the collection and presentation of HS-DEI related data, ensuring the quality and integrity of the data through meticulous documentation and validation processes. The analyst will conduct thorough literature reviews to support various projects and maintain a repository of relevant journal articles and materials. Statistical analysis will be a key component of the job, where the analyst will apply various statistical techniques to analyze data sets, perform hypothesis testing, and produce reports that effectively communicate findings through visualizations such as charts and graphs. Additionally, the Data Analyst will provide support to multidisciplinary research teams, assist in methodology development, and ensure compliance with data privacy regulations and ethical standards. The position is designed for someone who is not only proficient in statistical analysis but also possesses strong analytical and problem-solving skills, with a keen attention to detail. The ideal candidate will have experience in research or academic settings and be able to convey complex technical concepts to non-technical audiences, making this a vital role in advancing the mission of the OHSDEI.

Responsibilities

• Collect data from various sources and lead the collection, analysis, and presentation of HS-DEI related data.
• Ensure data quality and integrity through careful documentation and validation processes.
• Conduct thorough literature reviews and synthesize findings to support various projects, initiatives, and academic research endeavors.
• Assess the credibility, relevance, and quality of sources to ensure the reliability of information obtained.
• Analyze and synthesize findings from sources to identify key themes, trends, and patterns.
• Interpret findings from the literature and provide insightful analysis to support project objectives, research hypotheses, or strategic decision-making.
• Create and maintain a repository of journal articles and other materials.
• Apply statistical techniques and methodologies to analyze data sets.
• Perform descriptive and inferential statistics, regression analysis, hypothesis testing, and other advanced analytical methods as required.
• Interpret analysis results and draw meaningful conclusions.
• Compile findings into clear, concise reports or summaries with visualizations such as charts, graphs, and dashboards to communicate key findings and insights effectively.
• Provide support to research efforts with multidisciplinary teams by assisting in methodology development and data interpretation.
• Maintain organized data repositories and adhere to data management best practices.
• Ensure compliance with data privacy regulations and ethical standards in research.

Requirements

• Bachelor's Degree in a relevant field.
• Minimum of 3 years of experience in data analysis or a related field.
• Proficiency in statistical analysis software such as R, SAS, SPSS, or Python libraries (e.g., Pandas, NumPy, SciPy).
• Strong analytical and problem-solving skills with attention to detail.
• Experience with data visualization tools.
• Strong literature review skills.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical audiences.
• Familiarity with research methodologies and study design principles.
• Ability to work independently as well as part of a collaborative team.

Nice-to-haves

• Prior experience in research or academic settings is a plus.