Business Intelligence Analyst ( Mid - Senior)

Cermati Fintech Group; Jakarta Pusat; On-site; IDR 178,560,000 - 290,160,000; Full time

Job summary

Cermati Fintech Group seeks a data-driven BI Analyst to interpret data, build robust analytics and dashboards, and deliver insights with impact. You will transform complex data into actionable visuals, collaborate with stakeholders, and help prioritize information needs across the organization.

The role requires 2+ years in BI, strong SQL and visualization skills, and the ability to mentor junior team members in a fast-paced fintech setting.

Qualifications

• 2+ years in BI, data analytics or related field.
• Degree in Information Systems, CS, Mathematics, Statistics, or related.
• Expert-level SQL; Python/R/Java/JavaScript desirable.
• Ability to mine data to explain the 'why' behind trends.
• Experience with large datasets and live dashboards.
• Familiarity with Jupyter, Hive, BigQuery ML is a plus.
• Excellent written and verbal communication with stakeholders.
• Proven track record leading complex data analyses.
• Ability to deliver quality results under pressure in a fast-paced environment.

Responsibilities

• Interpret data and analyze results using advanced query techniques and statistics.
• Create robust data querying, transformation, and visualization processes with Excel, SQL, BigQuery, Python, R.
• Develop analytical reports and dashboards for large data sets.
• Identify reporting needs and updates with stakeholders.
• Present insights to drive fact-based decisions across the organization.
• Propose business process improvements based on data to drive impact.
• Work with management to prioritize information needs and align with goals.
• Monitor analyses to identify trends and escalate findings.
• Mentor junior BI team members and provide guidance and feedback.
• Maintain thorough documentation for all reports and dashboards.

Skills

Advanced SQL

Data visualization

Data storytelling

Communication

Leadership

Problem solving

Dashboards

Mentoring

Analytics

Fast-paced work

Education

Bachelor's or Master’s in Information Systems, Computer Science, Mathematics, or Statistics

Tools

Excel

SQL

BigQuery

Python

R

Java

JavaScript

Jupyter

Hive

BigQuery ML

Job description

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 escalates 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