50 applicants

Company

MedeAnalytics · 10 hours ago

Healthcare Data Analyst

Remote, USA

Full-time

Remote

Mid Level

$100K/yr - $150K/yr

3+ years exp

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Responsibilities

Lead the design, development, and ongoing support of clinical and financial integrated data models and reports used by provider and payer management in decision-making. This includes but is not limited to determining appropriate data transformations and governance strategies needed to provide trusted data sets for NCQA HEDIS & CMS STARs reporting and analytics.

Responsible for designing new data structures, mapping data from client source data to our data models, writing SQL/SQL like scripts to load and transfer the data to databases and performing data analysis with ETL.

Leads ideation sessions using lean principles to develop, document and analyze present state process maps and develop future state models.

Conduct, assess and profile data mappings to adhere to specific data structures, ensuring data quality is clearly defined to meet requested business use cases.

Design, create and maintain accurate and efficient data models.

Summarizes testing and validation results and be able to communicate and make recommendations on the best course for remediation.

Resourceful in arriving at solutions using existing or available resources.

Participate in agile work environment, completing sprint deliverables on time.

Contribute to our evolving development and testing standards and best practices.

Knowledge and experience in discrete data elements utilized in healthcare analytics.

Experience querying data, data interpretation and report generation using modern analytics tools (i.e., Power BI).

Work with product owners and business analysts on requirements and design.

Create and maintain comprehensive project documentation, using Mede’s standard technical templates, methodologies, and standards.

Consultative engagement with clients to assess and guide requirements specifications.

Conduct meetings, internal and with clients, to review integration progress, upcoming activities and deliverables required to fulfil the Integration project delivery.

Create and maintain data integrity by providing quality data profiling ensuring known constraints to operate in the Client’s environment.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLBI toolsData modelingHEDIS knowledgeCMS STARs measuresHealthcare data analysisETLDatabase designData mappingData integrationB2B experienceEAIESBWeb servicesService-oriented architecturesStandardized terminology servicesEpic certificationHL7C-CDAICDDRGCPTSNOMED CTLOINCNDCMedispanRxNormProcedural programmingBig data managementAWS

Required

Bachelor’s Degree (Bachelor of Science, Computer Science or equivalent) strongly desired; advanced degree (MS or MBA) preferred.

3+ year(s) of experience in working with MEDITECH Expanse, Cerner, Allscripts or Epic health information systems and/or 3 + years of relevant professional work experience with complex analysis background in healthcare data, HL7, C-CDA, HEDIS, CMS & STARS

Epic certifications with a focus on analytical capabilities is strongly preferred

Expertise with standard healthcare terminologies and vocabularies (ICD, DRG, CPT, SNOMED CT, LOINC, NDC, Medispan, RxNorm, etc.)

2+ years of Enterprise Software Packaged/SaaS Integration experience.

2+ years of Enterprise Integration Tool (Informatica is preferred) experience.

3+ years of database design and construction, ETL, and data modeling with an understanding of relational and dimensional data models

3+ years of procedural programming and markup languages such as JAVA, JavaScript, Python, SQL, XML, and JSON

2+ years managing big data (Data transfer, import/export, storage, performance, and security) and MS OLAP; additional experience with ETL framework, Linux and open-source technologies preferred.

3+ years RDBMS and Cloud data platforms with preferred experience leveraging AWS, Mondrian, Oracle, Databricks, Vertica, Hadoop, Apache Spark, Mondrian & MongoDB

Familiar with data visualization tools, Data Lake, Git, and version control.

Having up-to-date knowledge and understanding of HEDIS & CMS STARs measures’ technical specifications is required.