Responsibilities:

• Leads and improves analytical programs and presents the results.

• Analyzes the variable granular data of the business and regularly uses advanced models to deliver business insights across diverse business domains.

• Answers and anticipates critical business questions and opportunities and delivers insights to the business in ways that make significant impact.

• Demonstrates use of data visualization (Tableau, Power BI, Excel), and analytic tools (Python, R, SQL, KNIME/Alteryx) to grasp the business insights from mountains of data.

• Collaborates with multifunctional teams (Operations, Initiatives, and IT etc.) to improve key business priorities based on data-driven insights.

• Lead the roll-out and development of digital solution per business needs

Qualifications:

• Bachelor's Degree in quantitative or Engineering field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.)

• 2-4 years of experience as a data scientist or data engineer.

• Advanced proficiency in Python or related programming languages.

• Data management and visualization skills/tools in one or more of the following: Databricks, SQL, KNIME, Tableau, Power BI, JMP/SPSS or similar)