Business Intelligence Analyst ( Mid - Senior)

Location: Central Jakarta

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 escalate 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

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 escalate 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.

Requirements

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