Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Professional certifications in data science / ML engineering / business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position.
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Proficiency in at least one programming language (e.g. R, Python). Familiarity with Databricks, SparkR, PySpark or working with large datasets will be advantageous
Professional certifications in data science / ML engineering / business analytics from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position.
Develop and implement data visualization dashboards and reports to communicate key findings and recommendations to both technical and non-technical audiences.
Obtain CDM and UW teams input and maintain timely updates in the system including sales pipelines, status changes and comprehensive documentation of lost accounts.
Develop concrete business development plans, including but not limited to customer acquisition, cross-selling, up-selling, and retention programs, to nurture high-potential and high-value customer segments through targeted acquisition, development, and consolidation strategies
Ensure Data Quality and Integrity - Define and enforce data quality standards. Supervise data cleansing, validation, and transformation efforts to maintain accurate, consistent, and reliable datasets across systems.