Full-Time

Healthcare Data Analyst

Posted on 11/22/2024

MedeAnalytics

MedeAnalytics

201-500 employees

Healthcare analytics platform for data insights

Data & Analytics
Enterprise Software
Healthcare

Mid

No H1B Sponsorship

Nashville, TN, USA + 1 more

More locations: Richardson, TX, USA

Periodic in-office attendance required; must be based within commutable distance from Nashville, TN or Dallas, TX.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Power BI
Agile
Python
JavaScript
Data Science
Git
Apache Spark
SQL
Java
AWS
MongoDB
Hadoop
Oracle
Linux/Unix
Databricks
Requirements
  • 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
  • CAQH certification and/or Certified Health Data Analyst (CHDA®) a plus
  • 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.
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.

MedeAnalytics provides an analytics platform specifically for the healthcare industry, focusing on enhancing value-based care, population health, and quality metrics. Their platform works by integrating with existing data systems to enrich and analyze healthcare data, allowing clients to gain actionable insights that can improve financial, operational, and clinical outcomes. Unlike many competitors, MedeAnalytics emphasizes interoperability and advanced data orchestration, which enables seamless data integration and analysis. The goal of MedeAnalytics is to reduce healthcare costs and improve patient outcomes through effective data-driven decision-making.

Company Stage

Seed

Total Funding

$110.9M

Headquarters

Richardson, Texas

Founded

1993

Growth & Insights
Headcount

6 month growth

-24%

1 year growth

-24%

2 year growth

-24%
Simplify Jobs

Simplify's Take

What believers are saying

  • MedeAnalytics leverages AI-driven analytics for personalized patient care solutions.
  • The rise of telehealth creates new data streams for MedeAnalytics to analyze.
  • Partnerships enhance MedeAnalytics's capabilities in value-based care and SDOH insights.

What critics are saying

  • Integration of SubPop Health's solutions may face operational inefficiencies.
  • Partnership with HSBlox may encounter contract management challenges.
  • Key executive departures could lead to leadership instability.

What makes MedeAnalytics unique

  • MedeAnalytics offers a robust platform for healthcare data enrichment and analytics.
  • The company focuses on value-based care, population health, and quality metrics.
  • MedeAnalytics integrates seamlessly with existing data systems for informed decision-making.

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