
501 - 1000 funcionários
Fundada em 1974
Accounting and Assurance • Consulting • Financial Services
BerryDunn é uma firma premiada de contabilidade e consultoria com 50 anos de história dedicada a fornecer serviços excepcionais em auditoria, impostos e consultoria. A empresa foca em formar parcerias próximas com os clientes para entregar soluções personalizadas que geram resultados significativos. Suas equipes de especialistas atuam em vários setores, ajudando entidades públicas e privadas a otimizar finanças, reduzir riscos e melhorar processos de negócios com um compromisso com o sucesso do cliente.
🕒 Maio 22
🗣️🇺🇸🇬🇧 Inglês obrigatório
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501 - 1000 funcionários
Fundada em 1974
Accounting and Assurance • Consulting • Financial Services
BerryDunn é uma firma premiada de contabilidade e consultoria com 50 anos de história dedicada a fornecer serviços excepcionais em auditoria, impostos e consultoria. A empresa foca em formar parcerias próximas com os clientes para entregar soluções personalizadas que geram resultados significativos. Suas equipes de especialistas atuam em vários setores, ajudando entidades públicas e privadas a otimizar finanças, reduzir riscos e melhorar processos de negócios com um compromisso com o sucesso do cliente.
• Engage in planning, analysis, design, and development of data management, data integration, data warehouse, and business intelligence solutions. • Engage in discussions with the team, clients, and project sponsors to determine project goals and set priorities. • Convert business and technical requirements into detailed data analysis and system design specifications. • Utilize database, programming, and ETL tools to implement and maintain data management and warehousing solutions, creating valuable data analytics assets for clients. • Work closely with clients and the BerryDunn team to analyze systems, gather requirements, map data pipelines, and assess data quality. • Conduct data quality analysis, investigate and resolve issues to ensure data integrity and accuracy. • Create and deliver reports and analytic applications using suitable business intelligence or custom tools to meet client needs. • Improve efficiency and reliability of client and BerryDunn data processes through innovative solutions and best practices. • Use Artificial Intelligence tools to enhance productivity and improve project deliverables. • Collaborate with other groups within BerryDunn to provide support for data and system analysis, data pipeline engineering, and data architecture. • Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. • 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 all data solutions comply with industry standards, regulations, and security protocols, particularly those specific to healthcare.
• A minimum of five years of experience in data engineering, database development, or data warehouse ETL development. • A minimum of five years of experience in gathering, analyzing, and defining business and system requirements. • Intermediate to advanced SQL and Python skills, with a proven ability to write complex queries and optimize database performance. • Experience with SAS and other technologies is a plus. • Experience with Amazon Web Services (AWS), Azure, and Snowflake. • Proficiency in data visualization tools such as Tableau, Power BI, or similar, with the ability to create insightful and actionable visual reports. • Experience in developing and consuming APIs for data integration and ensuring seamless data flow between systems. • Experience working in Agile/Scrum environments, with the ability to adapt to fast-paced, iterative development processes. • 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, ensuring data integrity and accuracy. • Demonstrated interest in developing a wide range of data analytics skills to be applied across multiple, diverse projects in a dynamic and changing environment. • A team-oriented mindset with a friendly and professional demeanor, coupled with the ability to remain flexible amid changing needs and priorities. • Ability to work effectively with coworkers and diverse clients through periods of both intense interaction and self-directed work. • Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. • 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 is a plus.
• Benefits that go beyond what’s expected to support their physical, mental, career, social, and financial well-being.
Candidatar-se🕒 Maio 22
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