Business Intelligence ( Mid - Senior)

Cermati Fintech Group

Jakarta Pusat

On-site

IDR 180,000,000 - 360,000,000

Full time

17 hours ago
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Job summary

Cermati Fintech Group invites applications for a Senior BI Analyst role in Jakarta. You will interpret data, build robust querying and visualization pipelines, and create analytical reports to support decision-making.

You will identify reporting needs, present insights to stakeholders, and propose data-driven process improvements across the organization. The role requires 2+ years in BI or analytics, advanced SQL, and proficiency in Python or R.

Qualifications

  • 2+ years in BI or data analytics or related field.
  • Degree in information systems, CS, math, or stats.
  • Expert SQL skills; Python/R/Java/JavaScript desirable.
  • Ability to find trends and explain why via data mining.
  • Experience with large datasets and live dashboards.
  • Experience with Jupyter, Hive, BigQuery ML is a plus.
  • Excellent written and verbal communication.
  • Proven ability to lead data analysis projects.
  • Thrives under pressure in a fast-paced environment.

Responsibilities

  • Interpret data and analyze results using advanced query techniques and statistical methods to uncover actionable insights.
  • Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, BigQuery, Python, R, and other big data tools.
  • Develop analytical reports and represent large, complex sets of data through sophisticated visual representations and dashboards.
  • Proactively identify reporting needs and updates independently or based on stakeholder requirements within business processes.
  • Present information and insights in a way that drives fact-based decision-making across the organization.
  • Propose and define new business process improvement opportunities based on data to drive significant business impact.
  • Work closely with management to prioritize business and information needs while ensuring alignment with company goals.
  • Monitor deep-dive data analysis to identify trends or specific events and proactively elevate issues or findings discovered in business processes.
  • Mentor junior BI team members by providing guidance, reviewing their work, and offering constructive feedback on their projects.

Skills

Data analysis
Communication
Leadership
Problem solving
Fast-paced work

Education

Bachelor’s or Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, or related field

Tools

SQL
BigQuery
Python
R
Java
Javascript

Job description

  • Interpret data and analyze results using advanced query techniques and statistical methods to uncover actionable insights.
  • Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, BigQuery, Python, R, and other big data tools.
  • Develop analytical reports and represent large, complex sets of data through sophisticated visual representations and dashboards.
  • Proactively identify reporting needs and updates independently or based on stakeholder requirements within business processes.
  • Present information and insights in a way that drives fact-based decision-making across the organization.
  • Propose and define new business process improvement opportunities based on data to drive significant business impact.
  • Work closely with management to prioritize business and information needs while ensuring alignment with company goals.
  • Monitor deep-dive data analysis to identify trends or specific events and proactively elevate issues or findings discovered in business processes.
  • Mentor junior BI team members by providing guidance, reviewing their work, and offering constructive feedback on their projects.
  • Implement and maintain thorough documentation and records for all reports and dashboards created to ensure consistency and scalability.
Job Description
  • Interpret data and analyze results using advanced query techniques and statistical methods to uncover actionable insights.
  • Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, BigQuery, Python, R, and other big data tools.
  • Develop analytical reports and represent large, complex sets of data through sophisticated visual representations and dashboards.
  • Proactively identify reporting needs and updates independently or based on stakeholder requirements within business processes.
  • Present information and insights in a way that drives fact-based decision-making across the organization.
  • Propose and define new business process improvement opportunities based on data to drive significant business impact.
  • Work closely with management to prioritize business and information needs while ensuring alignment with company goals.
  • Monitor deep-dive data analysis to identify trends or specific events and proactively elevate issues or findings discovered in business processes.
  • Mentor junior BI team members by providing guidance, reviewing their work, and offering constructive feedback on their projects.
  • Implement and maintain thorough documentation and records for all reports and dashboards created to ensure consistency and scalability.
Qualifications
  • Minimum of 2 years of professional experience in Business Intelligence, Data Analytics, or a related field.
  • Bachelor’s or Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, or a related field.
  • Expert-level SQL skills with the ability to write advanced database queries; proficiency in Python, R, Java, or Javascript is highly desirable.
  • Ability to quickly disseminate data to find key trends and the skill to perform deep-dive data mining to understand the "why" behind those trends.
  • Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment.
  • Experience working with analytical tools such as Jupyter, Python, Hive, and BigQuery ML is a significant plus.
  • Excellent written and verbal communication skills, with the ability to explain complex technical findings to non-technical stakeholders.
  • Proven ability to lead complex data analysis projects and provide strategic recommendations to management.
  • Ability to work well and deliver high-quality results under pressure in a fast-paced environment
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