Senior Healthcare Data Analyst Jobs in Union, Arkansas

Develop data reports, statistical models, and analytics for management using visualization and statistics to understand and solve complex business problems.

Strong knowledge and experience with reporting packages, databases, and programming.

Advanced knowledge of statistics and mathematical methods and experience using statistical packages for analyzing datasets.

Working knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.

Knowledge of data requirements associated with PPI.

Peer review work done by other analysts. Share knowledge of analytics and data in area of specialty.

Work with various stakeholders and customers to identify reporting and data requirements for the assigned customer;

Develop strong working partnership with client service managers and collaborate with them to satisfy customer reporting needs;

Minimum of 3 years related experience for Data Analyst and 5 years related experience for Sr. Data Analyst;

Full Benefits; Medical, Vision, Dental, and more!

20+ Years of Proven Industry Experience in 4 major markets

Dedicated Engagement Manager who is committed to you and your success

Experience with creating user stories / assisting Product owners to define the same for business requirements.

Experience and detailed knowledge SQL, dimensional and OLAP databases and technologies.

5+ years of experience in Healthcare Domain Knowledge.

Strong analytical skills to analyze data sets and identify patterns.

Experience working in Agile environment and methodologies.

Has been a liaison & coordinating between data modeling, data mapping, source system SME, development, testing and business teams.

Develop procedures to enhance healthcare and Medicare data query and reporting capabilities.

Maintain documentation of business specifications pertinent to the business requirements.

Strong Microsoft Excel modeling (or VBA), reporting and analysis experience with an ability to interpret and synthesize complex data sets.

The appropriate individual will have demonstrated experience in the following:

Design and model data extractions that provide comprehensive assessments of trends and data.

Provide fundamental analytical support to the organization by developing and promoting consistent analytical methodologies.

Knowledge of data modeling concepts and experience in developing data models for analytics.

Location: Portland, OR (Hybrid or Remote would be fine)

Note: Looking for someone with Data Analyst profiles, Strong SQL and sounds knowledge on Clinical Trails.

Minimum of 8 years of experience as a Data Analyst, preferably in a healthcare or clinical setting.

Experience building data marts and working in a cloud-based environment (e.g., AWS, Azure, Google Cloud).

Strong analytical skills with the ability to identify patterns, trends, and insights from complex data sets.

Strong knowledge and experience with reporting packages, databases, and programming including predictive analytics and regression models.

Expert knowledge of mathematical and statistical methods and experience using statistical packages for analyzing datasets.

Strong working knowledge of medical terminology, medical coding and billing, claims processing procedures and considerations, and clinical data and data requirements.

Knowledge of data requirements associated with PPI.

Mentor and train new or more junior analysts regarding concepts, quantitative techniques, and professional skills.

Advanced skills with advanced analytics tools and methods including multivariate, regressions, random forest, cluster analysis, decision trees, and neural networks.

Not able to provide sponsorships (HIPPA/Privacy requirements).

·Experience providing data analysis within organizations.

·Primarily Excel with Pivot tables, SQL skills to extract data

·Plus to have other experience with Python, R, MS BI or other tools for more in-depth analysis

·Although JD has 6 years, are open to less experience.

·Business Analysis/Requirements gathering for report specifications (may extract/present data to do so)

3-5 years' experience in data management, analysis and reporting to include experience with combining clinical and financial data.

Strong time management and business process skills.

Use SAS, Python, R and other tools to analyze current cost management practices and help to define best practices for:

Bachelor's degree in Computer Science, Math, Finance, Economics or business-related field or equivalent experience.

Experience with database and business intelligence tools such as SAS, Python, R, Tableau, Cognos, MS Report Manager and Report Builder.

Experience designing and implementing complex algorithms and/or quality metrics.

-Uses analytic skills to offer data-driven conclusions and recommendations to business partners.

-3+ years of experience in Data Analysis within the healthcare field

-Knowledge of medical expense and trends, quality including HEDIS reporting, interventions, and STAR ratings

-Knowledge of SQL AND Tableau

-Promotes self-service analytics for customer adoption, understanding and use of data.

-Supports data quality and data stewardship functions to maintain data accuracy and identify new metrics.

Bachelor's Level Degree OR Master's Level Degree - Experience in lieu of education: Yes

Preferred: Financial Analysis - 1 year, Population Management - 1 year, Statistics - 1 year

Must have 1 plus years of SQL experience and Tableau Experience

Required: Data Analysis - 1 year

Form relationships with your partners in the Analytics and Finance areas

You have 3+ years of health care experience

You are a strong SQL programmer, with experience navigating non-standard data

You have strong analytical and problem-solving skills, and an intellectual curiosity to understand understand true underlying trends

Develop familiarity with the existing data, tool and processes used by the Valuation and Performance team

Actively participate, with support, in the initial month end financial process Contribute to an initial high-priority, lower-lift analytics project

Epic Certification in Cogito, Caboodle, or Clarity data models

Experience with SlicerDicer is highly desirable

Ability to understand business requirements, translate them to technical specifications, and recommend appropriate solutions

Experience with Population Health and Clinical Workflows preferred

Skills highlighted (not in order of importance):

Ability to create, modify, validate, and implement custom SQL queries

Department: KS Plan Advantage – Healthcare Finance

Employee Reward and Recognition Program

Paid time off for vacation, sick, and holidays

Job Title: Healthcare Information & Data Analyst I

Clinic Location: Pearland Administrative Office

Preferred: Ability to communicate complex information in a clear and concise manner

5+ years experience in Healthcare/business knowledge in member, eligibility, TPL, claims processing, provider, pharmacy claims

Experience in gathering business requirements.

Good/Excellent SQL skills (5+ years)

Work remotely within the United States.

Creates accurate mapping documents according to the mapping process.

Presents analysis and design recommendations to lead MITA teams, customer and/or vendors into the acceptance of the design.

2 to 5 Years of Experience and knowledge of healthcare data and analytics

Proficiency with basic statistics and management reporting

Knowledge of, and experience with, healthcare claims data and their nomenclatures

Experience with Microsoft Visual Studio

Strong experience with database tools and technologies

Strong SQL, Azure Databricks, Visual Studio experience

Strong time management and organizational skills

5 years of experience in federal contracting, preferably the Department of Health and Human Services

Effective verbal and written communication skills

Experience with multiple data analysis tools

Excellent analytical and technical skills

Exceptional communication, interpersonal, and collaboration skills

Knowledge of managed care and health care claims

Bachelor’s degree in Business, Finance or Public Health

Minimum of 5 years of financial or analytical experience in healthcare environment

Experience with data analysis, interpretation and reporting of clinical and financial data

Experience with Microsoft Excel, ACCESS, SSMS or SQL

Excellent oral and written communication skills

Escalates concerns to project management, such as delays or risks of delays as early as possible.

3-5 years Microsoft SQL experience specifically using SQL to build queries, reports and analyze healthcare data. SQL certification preferred

4 years data analysis and business knowledge within a healthcare environment and testing arena

3+ years’ experience with the Microsoft Reporting Tool SSRS

2+ years’ experience with state Medicaid agencies and/or vendors focusing on analysis or provider, member and claims data.

Healthcare experience with Pharmacy - Clinical experience - The role is for an SPBM Program.

3. Experience with data collection, data management, and analysis. Experience summarizing trends in written and presentation form.

1. Demonstrated project management skills.

2. 1-3 years related work experience required.

3. Gathers and compiles documentation of metrics and data sources, routine, ad hoc reporting to facilitate replication.

4. Collaborates with Information Systems to obtain and maintain sources and mapping tables.

5. Ensures data integrity and data quality, regularly reviews data for accuracy, identifies trends, and communicates changes.

Experience with Metadata management processes and tools (Glossary, Lineage, Mapping, etc.).

Require excellent organizational and time management skills.

Facilitate review sessions with management, business users and other team members.

Knowledge and experience with Data Governance processes, policies and standards.

Master Data Management processes and platforms such as Initiate, Informatica MDM, IBM MDM, etc.

Directly interacts with more senior level internal and external stakeholders (i.e. Managers, Directors, etc.).