Executive - Data & Analytics
Salary undisclosed
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Job Summary
Gamuda Land
Job description:
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 ResponsibilitiesYour 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
- 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.
- 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