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Data Analyst

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Data Analyst

  • Location:

    Johor

  • Sector:

    Monroe Information Technology

  • Job type:

    Permanent

  • Salary:

    Negotiable

  • Contact:

    Farah Rozmei

  • Contact email:

    farah.rozmei@monroeconsulting.com.my

  • Job ref:

    BBBH410450_1673591503

  • Published:

    15 days ago

  • Expiry date:

    2023-02-12

  • Client:

    Monroe Consulting Group

Executive recruitment company Monroe Consulting Group's Technology Division is partnered with a tech organisation that provides data science solutions to their clients. Our client is seeking a candidate whose primary role will be to use statistical and analytical techniques to extract insights from data, identify trends and patterns, and present findings to a variety of stakeholders.

Duties/Responsibilities:

  • Collect and organize large sets of data from various sources
  • Use statistical and analytical techniques to extract insights and identify trends and patterns in the data
  • Create reports and visualizations to communicate findings to stakeholders
  • Collaborate with cross-functional teams to identify areas for improvement and provide data-driven recommendations
  • Stay up-to-date with industry trends and tools in data analysis

Required Skills/Qualifications:

  • Bachelor's degree in a related field (e.g., computer science, statistics)
  • Strong analytical and problem-solving skills
  • Proficiency in SQL and at least one programming language (e.g., Python, R)
  • Experience with data visualization tools (e.g., Tableau, Excel)
  • Excellent communication and presentation skills
  • Experience working with large datasets and data management techniques
  • Ability to work independently and as part of a team
  • Ability to communicate effectively with both technical and non-technical stakeholders, and be comfortable working in a fast-paced, constantly evolving environment.
  • Passionate about data and harnessing the values of data

Preferred Qualifications:

  • Master's degree in a related field
  • Experience with machine learning techniques and tools
  • Experience working in a business setting and using data to inform decision-making
  • Minimum 2 years of hands-on experience in relevant field