Healthcare Data Analytics Engineer
BerryDunn
- Portland, ME
- $68,000-85,000 per year
- Permanent
- Full-time
- Enterprise data management advisory
- Data quality and system analysis
- Business requirements solicitation and analysis
- Designing and building data pipelines, warehouses, data integration, and end-user business intelligence/reporting solutions.
- 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.
- 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.
- Data Analytics Engineering Experience: Experience in data engineering, database development, data warehouse ETL, or business intelligence development.
- Business and System Analysis: Experience in gathering, analyzing, and defining business and system requirements. Strong ability to connect and combine technical expertise and business acumen to create data analytics solutions that help businesses make better decisions.
- Programming Proficiency: SQL (in on-premises or modern cloud database platforms) skills, with a proven ability to write queries and optimize database performance.
- Data Visualization: Experience with data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports.
- Agile Methodologies: Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes.
- Security Best Practices: Knowledge of data security best practices, including encryption, access controls, and compliance with data privacy regulations (e.g., HIPAA).
- Data Quality Expertise: Ability to analyze data with a focus on identifying and resolving data quality issues, ensuring data integrity and accuracy.
- Analytical and Problem-Solving Skills: Interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment.
- Team Orientation: A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities.
- Collaboration Skills: Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work.
- Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences.
- Project Management Abilities: Ability to self-manage assigned project work and work collaboratively with project managers and teams.
- Educational Background: A bachelor's degree in computer science, mathematics, statistics, economics, engineering, or another discipline with substantial quantitative coursework. Advanced degrees or relevant certifications are a plus.
- Experience with other data management, analytics, or visualization tools such as SAS, Python, Tableau, Power BI.
- Healthcare claims data experience.
- Experience working for or directly with a Medicaid agency.
- Knowledge of cloud-based data platforms.
- Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems.
- Basic understanding of machine learning concepts and experience with implementing machine learning models.
- Ability to support work in multiple time zones, as needed.