Jr. Data Analyst ( Indiana candidates)

About the position

The Jr. Data Analyst position at the Indiana Department of Health focuses on analyzing trauma and injury data to improve trauma care across the state's trauma system. The role involves exploratory data analysis, reporting, descriptive statistics, dataset curation, data visualization, and data linkage. The incumbent will work in a hybrid schedule, requiring three days onsite per week, including Wednesdays, and will report to the Surveillance and Evaluation Director.

Responsibilities

• Conducts general analysis of trauma-related data; serves as project lead, as assigned.
• Performs and documents procedures for data preparation including record linkage, data cleaning, standardization, analysis and interpretation.
• Works with Trauma System Epidemiologist to improve quality, accuracy and timeliness of data submitted to the Indiana Trauma Registry.
• Queries and analyzes trauma registry and related data for data requests as necessary, in conjunction with the Data Release Committee.
• Applies principles of good ethical, legal, and public health practice as they relate to data reports, design and data collection, dissemination and use.
• Provides operational support for the database to the Division, ensuring data integrity, database availability, and performance.
• Develops integration of database systems through standardized database design techniques.
• Develops data collection and evaluation methodologies, including format design, project criteria and requirements, data compilation, relevancy and usage.
• Incorporates interpersonal skills in communication with agency personnel, colleagues, and the public.
• Collaborates with trauma stakeholders for best practices in data analysis and effective data reporting.
• Some travel may be required.
• Performs related duties as assigned.

Requirements

• Bachelor's degree in Health Data Analysis/Management, Statistics, Public Health (Epidemiology/Biostatistics), Epidemiology or related field of study required; Master's degree preferred.
• Experience working as a data analyst, epidemiologist, or related role (2 years required).
• Experienced with SAS, R, Python or other relevant statistical software and statistical procedures, including data cleaning, running descriptive statistics, and full analyses (2 years required).
• Experience with Tableau and other data visualization software (highly desired).
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Ability to manage multiple projects and priorities.
• Possess significant process and people skills to appropriately perform the duties of the position.
• Ability to query trauma databases, including Indiana Trauma Registry.
• Ability to translate trauma data requests into descriptive summaries and appropriate statistical tests.
• Ability to work closely with colleagues to identify data-related problems and to provide quality customer service.
• Ability to communicate effectively, both orally and in writing.
• Ability to teach others how to submit data to a registry and respond to stakeholder questions.
• Ability to analyze, communicate and recommend future needs and direction for agency's data processing software/hardware environment, specifically related to trauma data needs.
• Ability to ensure that complex diagnostic, structure, logic, performance and tuning procedures relative to the operating system are performed.
• Demonstrated ability to lead strategically.
• Expert in the collection and use of data and skilled in working with data for data analysis purposes.
• Knowledge of relational database and data warehouse design techniques and dimensional modeling processes.
• Knowledge of computer hardware/software capabilities and configurations.
• Knowledge of specialty area(s) of database administration and/or system software such as communication, storage management, operating systems or capacity planning.
• Previous experience working with health care databases is preferred.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.

Nice-to-haves

• Working knowledge of data linkage techniques.
• Knowledge of database administration and/or system software such as communication, storage management, operating systems or capacity planning.
• Knowledge of relational database and data warehouse design techniques and dimensional modeling processes.