Senior Data Analyst - Dashboard Architect
$102k - $138kGdit
Role Description
GDIT is hiring a Senior Data Analyst-Dashboard Architect to provide data management, analytic, and visualization support for our program with HRSA Organ Procurement Transplant Network (OPTN) – Patient Safety. The program’s mission is to support the Organ Procurement and Transplantation Network (OPTN) in safeguarding patient safety and ensuring consistent, effective oversight of member performance and policy compliance across the national transplant system.
Duties include:
- Conduct data interpretation and analysis of Patient Safety and workflow data using various data analytics platforms (R and PowerBi).
- Develop and test innovative data analytic methods or applications to enhance insight of OPTN program performance.
- Provide technical assistance in data management, analysis, and visualizations to HRSA and field staff.
- Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership.
- Educate stakeholders HRSA and field staff on the use of data collection and analysis best practices as well as dashboard use.
- Build data dashboards in various platforms including Excel and business intelligence platforms.
- Liaise with stakeholders across different contract tasks/departments.
- Manage unstructured patient level and workflow data to prepare for meaningful data analysis.
- Develop methods, processes, or checks to assess and improve the quality of PEPFAR data across the data life cycle from reporting, entry, access, extraction, and use.
Qualifications
- Understanding of data management principles using R/PowerBi.
- Proficiency in data wrangling (querying/connecting, transposing, merging, filtering, aggregating, cleaning) of large complex datasets using R/RStudio or similar.
- Proficiency in building data models using Power Query or similar.
- Ability to create quantitative analytics tools, visualizations and applications in more than one of the following platforms: Excel, PowerBI, MicroStrategy, Tableau, R Studio/R Shiny, Python/Jupyter.
- Knowledge of methods in data science, modeling and/or machine learning.
- Ability to produce impactful, clear, and timely presentations and reports to experts.
- Ability to train public health professionals on data analysis life cycle skillsets.
- Expert user of Microsoft Excel, Power Query, and PowerPoint.
Requirements
- BA/BS required with 6 years experience OR Masters with 4 years experience (MPH, Health Informatics, Epidemiology, Biostatistics, Statistics or a related field).
- Strong verbal communication skills; must be comfortable and effective working with diverse audiences.
- Ability to work independently, including exploring new lines of investigation with minimal supervisory guidance.
- Organized, intuitive, efficient and well-documented coding skills.
- Excellent analytical and writing skills.
- Exceptional attention to detail.
- Passionate about making impact in health.
- Effective oral and written communication skills to communicate assignments and requests.
- Superb interpersonal skills and ability to work effectively as a team member.
- Ability to multitask and effectively manage competing priorities.
Benefits
- Medical plan options, some with Health Savings Accounts.
- Dental plan options.
- Vision plan.
- 401(k) plan with company match.
- Full flex work weeks where possible.
- Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- 15 days of paid leave per calendar year for vacations, personal business, and illness.
- 10 paid holidays per year.
- Paid Family Leave program providing up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
- Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance.
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