Data Analytics Specialist

4 hours ago

Subang Jaya, Selangor, Malaysia TIME's group Full time
Job Summary

We are seeking a highly skilled Data Analytics Specialist to join our team at TIME's group. As a key member of our data analytics team, you will be responsible for designing and developing data solutions for our data warehouse using various platforms.

Key Responsibilities
  • Develop an enterprise-wide data strategy and implement solutions for data warehousing, reports, and dashboards.
  • Collaborate with technical and business stakeholders to drive the implementation of data-driven solutions.
  • Define data architecture and analytical initiatives by identifying data types, sources, and potential usage to support data-driven decision-making.
  • Conduct data sourcing, assess source systems, execute data transformation, and handle overall data integration activities for the project.
  • Coordinate with stakeholders to understand data source, data models, format, frequency, privacy, and interfaces for the platform.
  • Check and 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.
  • Ensure 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 and translate user requirements into functional specifications.
Qualifications
  • Bachelor's degree in IT, Computer Science, or equivalent demonstrable experience.
  • 1+ year(s) of working experience in a Data Analyst or Data Scientist role.
  • 1+ year(s) of experience in data warehousing and ETL; knowledge of analytics tools e.g., PowerBI, Tableau, QlikSense is an added advantage.
  • Strong communication skills in English.
  • Proficiency in design and delivery of cloud-based data solutions (e.g. AWS, GCP, Azure) is a plus.
  • Knowledge in data warehouse modelling and data architecture with cloud and big data technology is a plus.
Skills & Abilities
  • Experience working with structured and unstructured data development.
  • Experience 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 and organizational skills.

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