Data Analyst and Business Optimization Specialist

2 weeks ago


Singapore Guerlain Full time

At Guerlain, we are seeking a highly skilled Data Analyst and Business Optimization Specialist to join our team.

We offer a competitive salary of $65,000 - $85,000 per year, depending on experience, plus a comprehensive benefits package.

Job Description:

We are looking for an individual who can analyze existing reports to identify process gaps and optimize them for standardization across the company. This role involves managing end-to-end analyses, identifying issues, gathering information from various sources, analyzing data, interpreting patterns and trends, building models, giving recommendations, and creating insightful automated reports.

You will work closely with stakeholders to translate business needs into BI reports with unique use cases for key users. Additionally, you will automate and validate newly created reports and develop corrective actions to improve data integrity and quality. You will also set up and maintain BI tools, infrastructure, and integration with internal and external data sources.

Required Skills and Qualifications:
  • Adept at using data visualization tools such as Power BI and having knowledge of project management (agile methodology), database management (SQL, Cognos Analytics) and CRM tool (Salesforce, Adobe Campaign)
  • Excellent skills with Microsoft Office Suite, especially Excel, Power Apps and Power Automate
  • Analytical with strong business acumen to work with large amounts of data to discover patterns and trends and form conclusions based on findings
  • Creative and curious to learn about the business, able to research independently to propose new processes and solutions to address business requirements
  • Excellent communication skills, and strong storytelling skills with data
  • Team player with an ability to function effectively in a dynamic, fast-paced environment
  • Quick learner and proven ability to handle multiple projects concurrently
  • On track to graduate from a bachelor's degree in Business, Statistics, Mathematics, Computer Science, Finance, or any other analytical field

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