Company Description
About m360 Research: m360 Research is a full-service market research agency specializing in the healthcare space. Our proprietary panels include over 1 million physicians across 75 specialties in addition to substantial communities of allied HCPs, and payers. Founded in 2004, with a strong provenance in technology and innovation, m360 is committed to high quality and actionable insights, underpinned by robust physician verification and ISO certification (9001, 20252, 27001). International fieldwork services are complemented by full service advanced analytics to power data-driven decision making.
About M3: m360 Research is a wholly owned subsidiary of M3, a Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India.
Job Description
Business Unit Mission:
M3 Global Research, an M3 company, is seeking a Senior Data Engineer to join our data engineering team. This role will focus on building and maintaining robust data pipelines, working closely with stakeholders to ensure data solutions align with business objectives, and utilizing tools like Power BI for data visualization and reporting. The ideal candidate has strong analytical skills, a passion for data-driven decision-making, and excellent communication abilities to work effectively with stakeholders across the organization.
Essential Duties and Responsibilities:
Include, but are not limited to:
- Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently.
- Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals.
- Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools.
- Provide guidance on best practices for data management, security, and compliance.
- Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights.
- Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines.
Essential Job Functions:
- Maintain regular and punctual attendance.
- Work cooperatively and communicate effectively with team members and stakeholders.
- Comply with all company policies and procedures.
Supervisory Responsibility:
- Yes
Outcomes:
- Deliver high-quality, reliable data solutions.
- Provide stakeholders with clear and actionable insights through Power BI reports.
- Ensure data pipelines and ETL processes are optimized and running efficiently.
- Foster strong relationships with stakeholders to ensure their data needs are met.
Competencies:
- Attention to detail.
- Analytical thinking and problem-solving skills.
- Strong communication and interpersonal skills to engage effectively with stakeholders.
- Ability to work in a fast-paced, agile environment.
Knowledge and Skills:
- Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).
- Strong experience with Power BI for data visualization and reporting.
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Experience with data modeling, data warehousing, and designing scalable data architectures.
- Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).
- Experience working in an Agile development environment.
- Excellent communication skills to work effectively with both technical and non-technical stakeholders.
- Ability to multi-task and manage multiple projects simultaneously.
- Problem-solving mindset with a desire to continuously improve data processes.
Minimum Experience:
- 5+ years of experience in data engineering or related fields.
- 2+ years of experience with Power BI or similar data visualization tools.
Qualifications
Education and Training Required:
- Bachelor’s degree in computer science, Data Science, or a related field, or equivalent experience.
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