Data Analyst, Stanbic IBTC Asset Management

To provide data-driven insights that support the growth optimization and performance of BluNest and other Digital Platforms through customer analytics segmentation and product performance monitoring while developing targeted insight-led customer engagement communications and campaigns aimed at driving sales revenue growth customer acquisition product adoption engagement retention and conversion. Monitor platform KPIs and growth investment product performance and adoption dashboards tracking customer activity and conversion funnels.

Qualifications :

Type of Qualification: First Degree
Field of Study: Statistics Mathematics Economics Computer Science Data Science Engineering or related discipline.

• Experience with big data tools: Hadoop Spark Kafka etc. Experience with relational SQL and NoSQL databases including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban Luigi Airflow etc. Experience with AWS cloud services: EC2 EMR RDS Redshift. Experience with stream-processing systems: Storm Spark-Streaming etc. Experience with object-oriented/object function scripting languages: Python Java C Scala etc.
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation data structures metadata dependency and workload management. A successful history of manipulating processing and extracting value from large disconnected datasets. Working knowledge of message queuing stream processing and highly scalable big data data stores.
• Working SQL knowledge and experience working with relational databases query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing big data data pipelines architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Additional Information :

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

Technical Competencies:

• Data Analysis
• Database Administration
• Data Integrity
• Information Technology Architecture
• IT Applications
• Knowledge Classification

Remote Work :

No

Employment Type :

Full-time