Data Analyst

4 weeks ago


Malaysia Career Wise Full time

Job Responsibilities:

  • Utilize historical data sets and planned product changes to model and forecast business trends.
  • Responsible for tracking and reporting on department initiatives and status reports.
  • Analyse the firms operations for trends, volume, demographics, and operator metrics to support decisions.
  • Conduct research on specific complaints, the individuals submitting those complaints, and other relevant information related to individual queries or systemic issues.
  • Update and manage information in a web-based case management system.
  • Act on cases and provide case summaries for referral to relevant unit for follow-up review and action.
  • Log information into the Tableau business intelligence and analytics database of the organization.
  • Utilize the Tableau analytics database to carry out statistical analysis and ad hoc reporting as required.
  • Provide support with technical writing and editing as required.
  • Develop analytics to identify trend lines across several data sources within the organization.
  • Examine and evaluate existing business practices and systems, and proffer suggestions aimed at creating efficiency and streamlining operations, while maintaining or increasing compliance rates.
  • Apply predictive analysis and tools to forecast and employ business analytics (including an enhanced ability to quantify and qualify data).
  • Undertake operational research to identify and recommend optimal/near-optimal solutions to complex challenges.

Job Requirements:

  • Minimum of Bachelors degree in Information Management, Computer Science, or Statistics Mathematical, or in a technical field is preferred.
  • Required to have a minimum of 1 year of experience handling a database with large datasets.
  • Possess advanced computer skills, knowledge of additional databases such as SQL Server and MySQL and familiar with data warehousing, data mining, and data mapping.
  • Require to work under tight schedules, so it is important that they can effectively manage and prioritize multiple work assignments.
  • Have knowledge of statistical methods and data analysis software such as SPSS to provide quantitative and qualitative data analysis.
  • Able to perform in-depth research, quantify the information and produce qualitative and quantitative reports. They must also be able to utilize data obtained to develop concise summaries targeted at decision points.
  • Capable of presenting their findings clearly via reports and oral presentations to senior colleagues.
  • Work effectively in a team oriented environment, and independently in a fast-paced, and changing environment.
  • Possess verbal and written communication skills to converse and collaborate with all levels of employees.
  • Ability to pay meticulous attention to detail, factoring every piece that might alter the validity of data.
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