Data Analytics Lead - Exclusive role

Data Analytics Lead - Healthcare Industry

We are recruiting for a top company in the healthcare field looking for a Data Analytics Lead.

This person will start and guide a team to improve data handling and analytics, helping the business grow and work better. This role offers the chance to shape the data strategy and systems for the Japanese market, ensuring they work well with global and regional goals.

This job is perfect for someone who loves using data to drive innovation and make smart decisions in healthcare.

You will lead a talented team, use best practices, and turn data into key assets that help the company succeed.

Key Responsibilities:

- Create and implement a data analytics plan for Japan that fits with global and local goals.
- Set up and manage processes for data and reporting.
- Build and lead a strong Data & Analytics team to solve business problems with data.
- Provide business insights to help with decisions in Sales, Marketing, Finance, and Supply Chain.
- Keep data organized and easy to access.
- Encourage self-service reporting while keeping control of key business reports.
- Document current and future Data & Analytics processes clearly.
- Set up frameworks for creating reports and self-service reporting.
- Build a strong base for data management and analytics, focusing on governance, quality, and integration.
- Use best practices to keep data accurate and reliable.
- Enhance analytics capabilities for better decision-making.

Qualifications and Skills:

- At least 13 years of professional experience, with 7 years in data management or analytics.
- Bachelor’s degree in Computer Science, IT, Data Science, or similar.
- Proven leadership in managing teams and complex projects.
- Strong knowledge of data governance, quality, and integration.
- Fluent in Japanese and English, with strong communication skills.
- Skilled in data analytics tools like SQL, Python, R, and visualization tools like Power BI.
- Strong leadership to bring together different functions to solve problems.
- Excellent documentation skills to explain processes.
- Resilience and determination to overcome challenges and succeed in projects.
- Passion for building data management and analytics foundations to support business growth.

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