Overview:

BerryDunn’s Healthcare Analytics Practice Group (HAPG) is looking for a Healthcare Data Analytics Engineer to join and grow with our practice. Our Data Management and Strategy Practice provides end-to-end data management and analytics services to clients across public and private sectors. You can expect a range of projects, including, but not limited to:

• 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.

You can be in-office in either Portland, ME, or Manchester, NH, or potentially remote.

You Will:

• 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.

You Have:

• 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.

This is an entry-level position with up to three years of experience. Level of hire will be commensurate with experience level.

PREFERRED QUALIFICATIONS

• 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.
  Compensation Details:
  The base salary range targeted for this role is $68,000 - $85,000. This salary range represents BerryDunn’s good faith and reasonable estimate of the range of possible compensation at the time of posting. If an applicant possesses experience, education, or other qualifications more than the minimum requirements for this posting, that applicant is encouraged to apply, and a final salary range may then be based on those additional qualifications; compensation decisions are dependent on the facts and circumstances of each case. The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to, years of experience, depth of experience, seniority, merit, education, training, amount of travel, and other relevant business considerations.
  BerryDunn Benefits & Culture:
  Our people are what make BerryDunn special, and in return we strive to support our employees and help them thrive. Eligible employees have access to benefits that go beyond what’s expected to support their physical, mental, career, social, and financial well-being. Visit our website for a complete list of benefits and a look into our culture: Experience BerryDunn.
  We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process or perform essential job functions. Please contact careers@berrydunn.com to request an accommodation.
  We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Please refer the Job description for details