Data Analyst III - Contingent at J29Not specified — full-time

*This position is contingent upon the successful award of the associated contract. Employment is not guaranteed until the contract is awarded, and the position is officially activated. Job responsibilities and requirements are subject to change.

Position: Data Analyst III

Location: Remote  

About J29 

J29 is an employee centered healthcare management consulting company that specializes in processing, reviewing, and analyzing medical claims, records, disputes, and audits. Established in 2017, J29 prides itself on its employee centric culture and high employee retention rates that allow us to ensure that we are creating a working environment that prioritizes the employee experience. Our team brings corporate performance that stretches to various areas where we can provide our clinical, healthcare policy, and compliance expertise through our support to health and human service programs at the State, Federal, and Commercial levels.    

Role & Responsibilities 

Utilizes various data analysis tools and software (like SAS, SQL, Excel, R, Python, Tableau, etc.) to manipulate and analyze data, identifying trends in data to pinpoint variances, outliers, and percentile-ranked groups that provide actionable insight opportunities for quality improvement or in-depth investigations.

Collaborates with other data analysts to create tabular and graphical presentations that clearly illustrate current levels of care, ensuring complex data is accessible and understandable for both technical and non-technical stakeholders.

Contributes to the design of re-measurement strategies to assess the efficacy of interventions, leveraging analytical reports to effectively quantify their impact on healthcare improvement.

Provides data preparation and cleaning. Conducts advanced data analyses including statistical modeling, machine learning, and predictive analytics to extract actionable insights. Develops and implements statistically sound sampling methodologies.

Conducts most complex statistical analyses to derive meaningful insights and patterns from data, helping in decision-making processes.

Develops and implements predictive models to help forecast future trends, aiding in proactive decision-making.

Implements machine learning algorithms to automate processes, make predictions, and enhance analytical capabilities.

Constructs sophisticated visualizations to communicate complex insights in a clear and concise manner to stakeholders.