Cermati.com

Business Intelligence Analyst

Cermati.com Special capital Region of Jakarta, Java, Indonesia

Financial Services · 1,001-5,000 employees

3 d ago
Mid (2-5 yrs) Full-time Indonesia
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About the role

The role involves interpreting data and creating robust querying, transformation, and visualization processes to drive fact-based decision-making. You will also collaborate with management to prioritize business needs and identify process improvement opportunities.

What they look for

SQL Data Analysis Python R BigQuery Excel Data Visualization Statistical Techniques Business Process Improvement Dashboarding Communication Skills Jupyter Hive BigQuery ML Java Javascript

Requirements

Candidates must hold a bachelor's or master's degree in a quantitative field such as Information Systems, Computer Science, Math, or Statistics. Expert-level proficiency in SQL and experience handling large datasets are required, with additional skills in Python, R, or other analytical tools considered a plus.

Full description

Job Description

  • Interpreting data, analyzing results using query, data statistical techniques.
  • Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools.
  • Develop analytical reports and represent large, complex sets of data through visual representation.
  • Present information in a way that drives fact based decision making.
  • Propose and define new business process improvement opportunities based on the data to drive business impact.
  • Work with management to prioritize business and information needs.

 

Qualifications

  • Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field.
  • Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable).
  • Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these.
  • Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment.
  • Excellent written and verbal communication skills.
  • Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus
  • Ability to work well and deliver under pressure