Senior Data Analyst

  • Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
  • Oct 02, 2020
Full time

Job Description

  • Provide concise data reports and clear data visualizations for management.
  • Analyze and interpret results using standard statistical tools and techniques.
  • Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry.
  • Review data for deficiencies or errors, correct any incompatibilities if possible and check the output.
  • Respond to queries for information and access relevant files.
  • Comply with data integrity and security policies.
  • Provide innovative analytical insights.
  • Conduct detailed data analysis on data used across business units to evaluate business processes and improve on/create new feature.
  • Respond to data and product related inquiries in real-time to support business and technical teams.
  • Provide expertise and translate the business needs to design; and develop tools, techniques, and metrics, and dashboards for insights and data visualization.
  • Responsible for developing and executing tools to monitor and report on data quality.
  • Responsible for establishing appreciation and adherence to the principles of data quality management, including metadata, lineage, and business definitions.
  • Provide support to IT teams in managing security mechanisms and data access governance.

Job Requirements

  • Candidate must possess at least Diploma/ Bachelor’s Degree/Post Graduate Diploma/Professional Degree in mathematics, statistics or equivalent. .
  • Required Skill(s): Forecast, Data Analysis Optional Programming languages, such as SQL, Oracle, Python, advance excel.
  • A high level of mathematical ability.
  • At least three (3) years and above of working experience in a related field is require.
  • Able to work independently on assignment without detailed instructions, with good initiative and cross-team player.
  • Problem-solving skills.
  • Ability to meet deadlines under pressure.
  • Self-motivated and capable to work with minimal supervision.
  • Strong attention to detail.
  • Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.