Role Overview
Partner with cross-functional teams to identify data requirements and design innovative analytical solutions to address complex challenges effectively. Conduct in-depth analyses of operational data to identify areas for improvement and process optimization. Develop dashboards to monitor performance and utilize advanced statistical and machine learning techniques to analyze large datasets and derive meaningful insights.
What You Will Do
Conduct in-depth analyses of operational data, develop dashboards, and utilize advanced statistical and machine learning techniques to analyze large datasets and derive meaningful insights.
Why It Might Be a Fit
The role requires a strong foundation in data query/manipulation using SQL, data visualization tools, and experience in Big Data technologies such as Spark, PySpark, and Databricks.
Requirements
- A minimum of Bachelor’s degree in Analytics, Statistics, or Engineering or any related field.
- At least 2+ years of experience in Analytics, Business Intelligence, or Data Science roles, preferably in an Internet or ‘Direct-to-Consumer’ company with large, complex, high-velocity data.
- Proficiency in Big Data technologies such as Spark, PySpark, and Databricks.
- Strong foundation in data query/manipulation using SQL and data visualization tools like Power BI.
- Experience in Snowflake and multidimensional modeling.
Benefits
- Term Life Insurance
- comprehensive Medical Insurance
- GrabFlex benefits package
- Parental and Birthday leave
- Love-all-Serve-all (LASA) volunteering leave
- Confidential Grabber Assistance Programme
- FlexWork arrangements
To apply for this job please visit jobs.smartrecruiters.com.
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