Data Visionary for Commercial Excellence

2 weeks ago

Singapore beBeeStrategist Full time $80,000 - $120,000

Job Summary:

Data Strategist Role

We are seeking an experienced Data Strategist to lead our data-driven initiatives and drive business growth in the APAC region. The ideal candidate will possess a deep understanding of data governance, compliance requirements, and experience working with Chinese markets.

Key Responsibilities:

  1. Develop and maintain efficient data pipelines to extract, transform, and load data from various sources into a data warehouse, ensuring seamless integration with cloud-based platforms (AWS, GCP, Azure) and on-premise data infrastructure.
  2. Take end-to-end ownership of data solutions, including monitoring, troubleshooting, and performing root cause analysis to ensure data reliability and accuracy.
  3. Consolidate data sources and reduce redundant data subscriptions with a focus on omnichannel engagement platforms to enhance commercial intelligence.
  4. Manage regional master data for products, customers, suppliers, and inventory to ensure consistency and accuracy for commercial analysis.
  5. Develop data models to support key commercial initiatives like sales forecasting, customer segmentation, and pricing optimization.
  6. Build and maintain scalable and secure data infrastructure for both cloud and on-premise environments to handle growing data volumes and ensure compliance with data governance and security best practices.
  7. Collaborate with commercial teams to identify data-driven opportunities and translate business requirements into actionable data solutions.
  8. Discover and prioritize new data sources within the region to enhance commercial intelligence and support business growth.
  9. Perform exploratory data analysis to identify patterns and trends that can drive revenue growth and improve profitability.
  10. Implement rigorous data validation, cleansing, and continuous monitoring to ensure data quality and accuracy for reporting and analytics.

Requirements:

  • At least three years of Data Engineering experience with a proven track record in data ingestion, transformation, and modeling across hybrid cloud and on-premise environments.
  • Strong skills in SQL and programming languages like Python or R for data manipulation and model development.
  • Meticulous commitment to data accuracy and code quality is essential, along with expertise in cloud-based platforms (AWS, GCP, Azure) and on-premise data infrastructure.
  • Strong analytical and diagnostic skills, exceptional verbal and written communication skills, and the ability to effectively manage multiple, diverse data projects simultaneously.
  • A deep understanding of data governance and compliance requirements, as well as experience working closely with Chinese markets.
  • On-premise data management and security best practices knowledge is necessary, and familiarity with the pharmaceutical industry is a plus.

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