Remote Data Analyst Assistant Jobs in Texas (NOW HIRING)

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Job Posting Title:

Location:

Additional Posting Details:

• Mon - Fri, 8am - 5pm.
• Hybrid, mostly remote

Job Description:

The Healthcare Data Analyst will be a key member of the Analytics Center of Excellence working closely with organizational stakeholders to define, develop, and deliver effective business intelligence and analytics solutions. The Analytics team is essential to transforming how organizational data assets are leveraged to deliver meaningful analytics insights and to enable data-driven decision making in support of the organization's clinical, operational, and financial strategy.

Duties/Responsibilities

• Query healthcare data from multiple sources including electronic medical records, patient experience surveys, claims, and administrative systems to discover meaningful analytical insights for clinical, business, and strategic initiatives.
• Analyze business requirements and source systems to translate these inputs into technical data specifications and workflows for the design and development of analytical solutions.
• Design, develop, validate, and monitor reports and dashboards to track key healthcare clinical quality, operational, and financial data.
• Design, develop, and automate clinical quality and operational performance metrics. Maintain knowledge base of data requirements and measure definitions.
• Conduct analysis, including benchmarking and performance forecasts, to enable data informed decision making.
• Perform advanced analytics such as statistical analysis and predictive model development to support clinical and business strategy.
• Adhere to data management and analytics best practices to ensure timely and accurate delivery of high-quality analytics products.
• Establish and maintain data dictionaries, metadata, data definitions, release notes, and other documentation that supports organizational data governance and change management.
• Work closely and collaboratively with multidisciplinary project teams to provide comprehensive analytical support on organizational initiatives. Interpret, explain, and discuss data analysis results with project team. Make data informed recommendations and support strategies for improving healthcare delivery and outcomes.
• Apply a thorough and methodical approach to analysis and presentation of data results including use of data visualizations. Structure analytical results in an organized, visual manner to tell a meaningful and actionable story. Use effective written and verbal communication skills to present analysis and results to diverse stakeholders.
• Assess analytics project requirements by performing workflow assessments, capturing business needs, and documenting assumptions, risk, issues, definitions to develop a thorough project plan with realistic goals and timelines.
• Evaluate data needs of assigned projects, assure data integrity and suitability, and determine data collection methods, metrics definitions and evaluation methods.
• Prepares and deliver business communications, including meeting agendas, presentations, business reports and project communications plans to effectively meet stakeholder needs and expectations.
• Coaches and develops other team members, acting as a resource of knowledge and guidance. May supervise and ensure the quality of work performed by others.

Required Skills/Abilities

• Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required.
• Master's Degree or higher in a healthcare analytics, computer science, data science, or quantitative based discipline such as economics, epidemiology, statistics, public health, or health services research preferred.
• 5+ years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required.
• 5+ years of experience in data management, data visualization, and analytics using tools such as MS SQL, SSRS, Power BI, Tableau, SAS, or R required.
• Working knowledge of relational database and data warehouse concepts required.
• Epic or Workday knowledge required.
• Working knowledge of MS Office Applications required.
• Technical project management experience preferred.