32 applicants

Company

BerryDunn — Assurance, Tax and Consulting · 7 hours ago

Senior Healthcare Data Analytics Engineer

United States

Full-time

Remote

Mid, Senior Level

$105K/yr - $145K/yr

5+ years exp

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Responsibilities

Contribute to all aspects of the Systems Development Lifecycle: Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions.

Participate in Goal Setting: Engage in discussions with the team, clients, and project sponsors to determine goals and set priorities.

Translate Requirements: Convert business and technical requirements into detailed data analysis and management plan specifications.

Implement and Maintain Data and Analytic Solutions: Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients. Focus on providing clean, usable, and value-add data assets to end users and modeling data to empower end users to answer their own business questions or make decisions.

Collaborate with Interested Parties: Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality.

Ensure Data Quality: Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy.

Develop Reports and Analytics: Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs.

Optimize Processes: Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices.

Support Cross-Functional Teams: Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture.

Mentor and Lead: Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

Stay Current with Industry Trends: Keep abreast of the latest trends and technologies in data engineering, healthcare analytics, and data science to ensure BerryDunn remains at the forefront of the industry.

Ensure Compliance and Security: Ensure all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.

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.

Data Analytics EngineeringSystem AnalysisSQLData VisualizationData Quality ExpertiseAgile MethodologiesHealthcare KnowledgeData Security Best PracticesProject ManagementTeam OrientationCloud-based Data PlatformsAPIs DevelopmentMachine Learning ConceptsTableauPower BISASPythonCollaboration Skills

Required

A minimum of five years of experience in data engineering, database development, data warehouse ETL, or business intelligence development.

A minimum of five years of experience in gathering, analyzing, and defining business and system requirements.

Intermediate to advanced SQL skills, with a proven ability to write complex queries and optimize database performance.

Proficiency in data visualization tools such as Tableau, Power BI, or similar.

Experience working in Agile/Scrum environments.

Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).

Strong ability to analyze data with a focus on identifying and resolving data quality issues.

Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects.

A team-oriented mindset with a friendly and professional demeanor.

Ability to work effectively with coworkers and diverse clients.

Excellent written and verbal communication skills.

Experience in managing projects or leading teams, with strong organizational skills and attention to detail.

Prior experience or familiarity with healthcare data standards, regulations, and practices.

A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework.