J29, Inc

Data Analyst III - Contingent

J29, Inc Millersville, Maryland, United States · $60K–$75K/yr

Business Consulting and Services · 201-500 employees

Yesterday
Remote data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Data Analyst III will utilize advanced analytical tools to identify trends, variances, and actionable insights within healthcare claims and records. They will also collaborate with stakeholders to create visualizations and implement predictive models to support strategic decision-making.

What they look for

SAS SQL Excel R Python Tableau Data Analysis Statistical Modeling Machine Learning Predictive Analytics Data Visualization Data Governance Sampling Methodologies Healthcare Consulting Reporting Database Management

Requirements

Candidates must hold a bachelor's degree and possess one to three years of relevant professional experience. Proficiency in data analysis software such as SAS, SQL, R, and Python is required.

Full description

*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. 
  • Collaborates with other departments and teams to understand business requirements and align analytical efforts with organizational goals. 
  • Delivers comprehensive and actionable reports that provide valuable information for strategic business decisions. 
  • Ensures adherence to data governance policies and compliance with relevant regulations to maintain data integrity and security. 
  • Helps to identify opportunities for process improvement, staying updated on emerging technologies and contributing to the ongoing enhancement of data analytics capabilities within the organization. 
  • Develops code to join multiple relational database tables required to conduct various analyses. 

Experience / Expertise  

  • Bachelor's degree required. 
  • One (1) to three (3) years of relevant professional experience.  

Salary: $60,000-75,000 depending on years of experience

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