Data Analyst

GlobeOSS


Date: 1 week ago
City: Shah Alam
Contract type: Full time
Data Analyst / Business Intelligence Analyst

Full-Time (Permanent)

Location: Shah Alam

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Job Responsibilities

  • Understand business needs and requirements, be curious and ask the important questions.
  • Enable effective and strategic decision-making by analyzing data from multiple sources and crafting them into practical formats and reports by using business intelligence frameworks, tools and data marts.
  • Develop presentations that vividly and clearly communicate your analytical results and actionable insights for a diverse range of audiences.
  • Work closely with other relevant internal teams to ensure that information and reports are delivered like clockwork.
  • Implement automation of reporting and dashboards; maintain contents and quality of databases.

Requirements

  • Minimum of a Bachelor’s degree, preferably in Mathematics, Statistics, Computer Science or related fields. Masters is an advantage.
  • Professional certifications for any business intelligence solution would be an additional advantage.
  • Proven working experience in data analysis. Preferably at least 1 year of experience working in:
  • Business users to gather requirements and design solutions; and/or
  • Data analysis, excel and PowerPoint; and/or
  • Writing scripts for SQL manipulation and building reports and dashboards with any business intelligence tool such as Tableau, QlikView/Qlik Sense, Power BI or equivalent
  • Fresh graduates with relevant degrees and outstanding results will be considered.

Essential Skills

  • Able to engage with various users to translate business requirements into data requirements.
  • Good understanding of dimensional modelling and data warehouse concepts.
  • Strong mathematical skills to help collect, measure, organize and analyze data
  • Solid problem-solving skills and creative thinking to identify new solutions.
  • Adept at queries, writing reports, and making presentations
  • Experience with RDBMS and Big Data Storage technologies (i.e. MySQL, MariaDB, PosgreSQL MS SQL, Oracle, DB, Hive/Impala).
  • Shell scripting on UNIX platforms.

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