Data Analyst, Pediatrics Children's Health Services Research
Indiana University

Indianapolis, Indiana

Posted in Education and Training

This job has expired.

Job Info



Department Information

The Division of Children's Health Services Research at Indiana University School of Medicine is nationally recognized for its innovative and impactful research. Since its inception in 2001, the division has sought to improve the health and health care of children, adolescents, and young adults by developing and applying the best scientific evidence and methods in health services research.

Job Summary

The Data Analyst role will focus on core data management services for the interdisciplinary research team directed by Dr. Sarah Wiehe at Indiana University School of Medicine (IUSM). Under her direction are several related initiatives that are central to her extramurally funded grant portfolio as part of IUSM and to the Co-Director role as part of the Indiana Clinical and Translational Sciences Institute (CTSI). These initiatives investigate social determinants of health, patterns of healthcare and social service utilization, justice involvement, and residential mobility to identify opportunities for intervention and to improve health equity in Indiana. The team has partnered with data-sharing agencies, including with justice, public health, and community organizations, for more than a decade and have established trusted data-sharing agreements for the purpose of grant-funded research. More recently, we have sought to share aggregated and de-identified data in response to community-driven questions, thereby deepening existing partnerships and establishing new ones.

Department-Specific Responsibilities

  • Integrates data from various data systems (e.g., data from Medicaid claims, electronic health records, social service agencies, etc.) to assess data quality and feasibility for specific data-related projects and proposals; curates analytic data sets for these projects/proposals.
  • Addresses data quality issues through data cleaning techniques and creative approaches to data management (e.g., missingness of all sorts, bias due to quality or missingness, etc.).
  • Organizes data while maintaining scrupulous documentation on meta-data and processes.
  • Produces various queries to assess data quality, including chart reviews to validate procedures and findings.
  • Writes (and reviews and iterates on) code and creates replicable processes to clean data, define variables, and perform analyses.
  • Prepares and executes procedures to link disparate data sets using unique identifiers, including validating the findings/outcomes of such procedures.
  • Documents meticulously the procedures implemented in managing these data, including data acquisition, cleaning, linking, variable definition, and analysis.
  • Tracks and provides project status updates at project team meetings.
  • Processes results of analyses into formats for presentation and dissemination.
  • Assists in writing manuscripts relating to these processes as time allows.
General Responsibilities
  • Provides experienced analysis of existing data and data structures and satisfies ad-hoc reporting/analysis requests.
  • Creates reporting specifications for new reports/dashboards/analytical tools and performs testing/validation; ensures integrity, accessibility, and accuracy of reports/dashboards and data structures; reviews and approves user requests for access to reporting data and tools.
  • Consults with faculty and/or staff to identify new business reporting needs and provides guidance and interpretation of complex environments and data.
  • Documents data analysis efforts (data sources, reporting specifications, tools, issue/problem resolutions).
  • Performs experienced analysis to interpret and determine validity and quality of data.
  • Performs migration and conversion of data as needed in support of analysis efforts.
  • Researches and stays up-to-date on emerging technologies and tools and makes recommendations for implementation to improve data analysis services and approaches.


Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.


  • Bachelor's degree preferably in computer science, information science, or related field.

  • 2 years of data analysis, reporting, or related experience.
  • 3 years of data analysis, reporting or related experience.

  • Proficient communication skills.
  • Maintains a high degree of professionalism.
  • Demonstrated time management and priority setting skills.
  • Demonstrates a high commitment to quality.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Seeks to acquire knowledge in area of specialty.
  • Highly thorough and dependable.
  • Demonstrates a high level of accuracy, even under pressure.

Working Conditions / Demands

This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.

Additional Information

$65,000 to $75,000 annually based on experience.

Work Location

Indianapolis, Indiana

This position is eligible to work a hybrid schedule (mix between remote and in-person work), subject to change in the future based on university policy and business needs.

Benefits Overview

For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Multiple plan options for medical insurance
  • Dental insurance
  • Health Savings Account with generous IU contribution
  • Life insurance, LTD, and AD&D options
  • Base retirement plan contribution from IU, subject to vesting
  • Additional supplemental retirement plan options
  • Tuition benefit for IU classes
  • 10 paid holidays per year
  • Generous Paid Time Off
  • Paid Parental Leave
  • Employee Assistance Program (EAP)
Learn more about our benefits by reviewing our online Benefits Brochure.

Job Classification

Career Level: Career

FLSA: Exempt

Job Function: Information Technology

Job Family: Data Analysis & Engineering

Click here to learn more about Indiana University's Job Framework.

Posting Disclaimer

This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.

If you wish to include a cover letter, you may include it with your resume when uploading attachments.

Equal Employment Opportunity

Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Indiana University does not discriminate on the basis of sex in its educational programs and activities, including employment and admission, as required by Title IX. Questions or complaints regarding Title IX may be referred to the U.S. Department of Education Office for Civil Rights or the university Title IX Coordinator. See Indiana University's Notice of Non-Discrimination here which includes contact information.

Campus Safety and Security

The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online. You may also request a physical copy by emailing IU Public Safety at or by visiting IUPD.

Contact Us

Request Support
Telephone: 812-856-1234

This job has expired.

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