Data Analyst
Remote
Full Time
Experienced
Position: Data Analyst
Location: Remote
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.
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.
Overview
The Data Analyst performs analysis of audit and survey data; identifies trends, supports dashboards, and delivers insights for reporting and quality improvement.
Key Responsibilities
Requirements
Qualifications
Location: Remote
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.
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.
Overview
The Data Analyst performs analysis of audit and survey data; identifies trends, supports dashboards, and delivers insights for reporting and quality improvement.
Key Responsibilities
- Collect, aggregate, manipulate, and process data from multiple sources to support analytical and reporting needs.
- Analyze administrative claims and survey data, including interpreting results and evaluating data quality and outcomes.
- Design and apply both qualitative and quantitative research methods to support data‑driven insights.
- Monitor and maintain data quality standards, identifying gaps and implementing improvements where needed.
- Conduct exploratory data analysis to identify trends, limitations, and insights related to data sets and target populations.
- Prepare and structure large, complex datasets for use in statistical modeling and advanced analyses, including financial, actuarial, and clinical applications.
- Develop and execute data analyses using programming languages and tools such as Python, SQL, and/or R.
- Apply advanced analytical techniques, including statistical modeling and machine learning, to solve business and research problems.
- Create clear data visualizations and communications to translate complex findings into actionable insights for a variety of audiences.
Requirements
- Experience finding, identifying, collecting, aggregating, manipulating, and processing data;
- Experience with administrative claims and survey methodologies, including interpretation and evaluation of survey data;
- Experience in qualitative and quantitative research methods;
- Experience in monitoring data quality standards and determining areas of improvement;
- Experience performing exploratory analysis issues or limitations with data, as well population characteristics;
- Experience preparing large-scale complex datasets to use in statistical and other data models (e.g., financial analysis, actuarial analysis, and/or integration or clinical data);
- Experience with programming languages and/or packages (experience with open source (e.g., Python, SQL, and/or R) is preferred);
- Demonstrated ability to use advanced analytical methods (e.g., statistical and/or machine learning);
- Experience with data communication and visualizations to explain complex analytical concepts to various audiences.
Qualifications
- 7–10+ years analytics experience
- Federal healthcare analytics preferred
- Statistical modeling and reporting expertise
- Strong data visualization skills
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