BI Data Analyst, Novo Nordisk

BI Data Analyst, Novo Nordisk

Company Novo Nordisk
Job title BI Data Analyst
Job location Seoul, South Korea
Type Full Time

Responsibilities:

  • Set data governance and data processing: Transform raw data into structured information as a “ready-to-use” data product. Optimize data governance (both policies and processes) in line with NN global data guidance.
  • Lead data processing (data collection, data input, interpretation, etc).
  • Act as a bridge with NN global (International Organization (IO)/APAC) to reflect newly guided data governance and processing.
  • Conduct commercial data analytics to maximize business impact: Understand business needs, define business requirements and define relevant dataset for commercial data analytics in line with key business problems.
  • Utilize advanced analytics tools or methods to generate data insights in an agile manner.
  • Provide relevant business insights to local/global stakeholders from data analysis and potentially propose action items.
  • Support Sr. BI Data Analyst in conducting ad-hoc data analytics and driving local/global commercial data analytics projects
  • Support Commercial Excellence(CE)/BI manager in executing BI strategic initiatives to elevate a data-driven mindset: Assist in data insight report publication to improve the organizational data-driven mindset.
  • Support BI initiatives toward local NN stakeholders in line with the Future Frontline Customer Engagement Framework.
  • Identify and propose new business insight opportunities in accordance with brand strategy and closely work with cross-functional stakeholders to support their data-driven decision making.

Requirements & Skills:

  • A bachelor’s degree related to statistics, engineering, computer science, or mathematics is preferred.
  • English proficiency, both written and spoken required.
  • At least 5 years of overall work experience (with at least 3 years in data analytics). Experience in the healthcare or pharmaceutical industry is a plus.
  • Experience with data visualization tools (Power BI, Tableau, or similar platforms) is a plus.
  • Experience in cloud platforms (Snowflake, Databricks, or Salesforce) is a plus.

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