Executive - Data & Analytics

Job Summary

Design and develop data solutions for Gamuda Land's data warehouse with various platforms. Collaborate with technical and business stakeholders to drive the implementation of data-driven solutions. Responsibilities include developing an enterprise-wide data strategy, implementing solutions for data warehousing, reports, and dashboards, and defining data architecture and analytical initiatives by identifying data types, sources, and potential usage to support data-driven decision-making.

Key Responsibilities

Your responsibilities would include and not be limited to:

• Conduct data sourcing, assess source systems, execute data transformation, and handle overall data integration activities for the project.
• Coordinate with stakeholders (source system owners) to understand data source, data models, format, frequency, privacy, and interfaces for the platform
• Check & validate data for dashboard initiatives developed by the data analytics team to deliver business reporting and dashboard requirements.
• Adapt to and understand existing pipelines and repositories
• Manage end-to-end data migration, conversion, and data modelling
• Ensures data accuracy from all aspects of data analysis, mapping, and transfer with minimal data inaccuracy
• Provide support and guidance to development teams during project analysis, development and testing processes
• Interpret requirement analysis & translate user requirements into functional specifications
• Ad hoc requests from time to time by Management

Qualifications

• Bachelor’s degree in Degree or Diploma in IT, Computer Science, or equivalent demonstrable experience.
• 1+ year(s) of working experience Data Analyst or Data Scientist role
• 1+ year(s) of experience in data warehousing and ETL, knowledge on analytics tools e.g., PowerBI, Tableau, QlikSense is an added advantage. 1-2 years at a management consulting firm will be beneficials.
• Strong communication skills in English
• Proficiency in design and delivery of cloud-based data solution (e.g. AWS, GCP, Azure) is a plus.
• Knowledge in data warehouse modelling and data architect with cloud and big data technology is a plus.

Skills & Abilities

• Experience working with structured and unstructured data development
• Experienced with BigQuery.
• Knowledge and experience with Apache Airflow and Kubernetes Engine is a plus
• Expand ETL/ELT frameworks in line with the architecture requirements.
• Emphasis on strong Python language for both ETL/ELT & API data processing
• Demonstrated ability in handling big data, delivery of streaming and real-time systems
• Excellent problem solving and troubleshooting skills.
• Proactive attitude with the ability to identify potential and ideate solutions
• Effectively collaborate and contribute within a team environment
• Excellent time management skills and organisational skills