jobs in Hireon

全职 Data Analyst 工作, 薪水, Hireon Sarawak 公司招聘中 - Ricebowl

Data Analyst

Hireon

Undisclosed
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工作地点

  • Kuching Sarawak Malaysia

职位描述

岗位职责

SALARY RANGE: RM4,000-RM7,000


Responsibilities:

This position is an executive position at the Sarawak Campus. The position will be responsible for areas as designated by the Assistant Manager, Application Development – primarily focusing on analyzing and validating data, creating reports and dashboards, performing trend analysis, supporting data integration, and using automation and visualization tools to deliver actionable insights for strategic decision-making, along with any other relevant tasks as assigned.


Qualifications and Criteria:

  • A Bachelor’s degree in computer science, IT, or a related field from a recognized institution, with at least three (3) years of relevant working experience; OR Master’s degree holder can be considered.
  • For bachelor’s holders, at least three (3) years of relevant working experience in any two of the following domains: data insights, dashboard development, data extraction, data modelling, statistical analysis, data validation, or data governance compliance.
  • Strong analytical skills to interpret data and extract insights from complex datasets.
  • Familiar in designing interactive dashboards and presenting insights through dashboard and visualization tools.
  • Ability to clearly communicate complex data insights to both technical professionals and non-technical audiences.
  • Excellent interpersonal skills especially in a cross-cultural situation and demonstrated ability to work effectively in a consultative and team environment.
  • Familiar in data query languages such as SQL, Python, or low-code platforms such as Power BI.
  • Ability to abstract and build data models for analysis.
  • Ability to detect, validate, reconcile, and troubleshoot data issues to maintain accuracy and integrity.
  • Knowledge of hypothesis testing, regression analysis, and trend forecasting to support strategic decision-making.
  • Ability to interpret and analyze structured data models and work collaboratively with machine learning specialists to enhance predictive insights.
  • Agility in High-Performance Environments: Thrives in fast-paced scenarios, adept at orchestrating multiple tasks, tracking action items, adapting to shifting priorities, and meeting tight deadlines.
  • Flexibility in Working Hours: Exhibits willingness to operate beyond regular office hours as necessary to fulfill job demands.

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