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Data Analyst

MR DIY International

Seri Kembangan

On-site

MYR 45,000 - 65,000

Full time

Today
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Job summary

A retail company in Seri Kembangan, Malaysia, is seeking a Data Analyst to collect and analyze data, develop reports, and support cross-functional teams. The ideal candidate will have a Bachelor's degree, 2-3 years of experience, and proficiency in MS Excel and analytical tools. Strong problem-solving and communication skills are essential for success in this role.

Qualifications

  • Bachelor's degree in a relevant field is required.
  • 2-3 years of professional experience in data analysis or similar role.
  • Proficiency in analytical tools, especially MS Excel.

Responsibilities

  • Collect, clean, and validate data from diverse sources.
  • Perform detailed data analysis to detect patterns and trends.
  • Develop and deliver reports on findings to stakeholders.

Skills

Data analysis
Problem-solving
Communication
Teamwork

Education

Bachelor’s Degree in Mathematics, Business Analytics, Data Science, Operational Research, or Computer Science

Tools

MS Excel
Data visualization software
SQL
Job description

Job Responsibilities

  • Collect, clean, and validate data from diverse sources to ensure accuracy and reliability.
  • Perform detailed data analysis to detect patterns, trends, and correlations that could influence business strategies.
  • Develop and deliver regular reports on findings to stakeholders, highlighting actionable insights and recommendations for business growth and operational improvements.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions and support.
  • Address ad-hoc data queries and conduct thorough investigations to resolve data discrepancies and issues.
  • Stay abreast of industry trends and advancements in data analytics tools and methodologies to continually enhance the analytics functions.

Job Requirements

  • Bachelor’s Degree in Mathematics, Business Analytics, Data Science, Operational Research, Computer Science, or a related field.
  • At least 2-3 years of relevant professional experience in data analysis or a similar role.
  • Proficiency in MS Excel and other analytical tools. Knowledge of data visualization software and SQL is highly desirable.
  • Strong analytical and problem-solving skills, excellent interpersonal and communication abilities, and a proven ability to work effectively in a team.
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