Lowongan Business Intelligence Analyst di PT Moladin Digital Indonesia

Moladin is Indonesia’s leading used car fintech and marketplace. We are transforming the used car industry by empowering all players using our proprietary operational, financing, AI and IoT capabilities. We target to continue to grow strongly and explore more opportunities in the coming years.
As a Tech start-up, we have one of the most seasoned and deep management teams plus have received strong financial backing from top investors including Sequoia Capital, Rocket Internet, East Ventures, Northstar and DST Global. We have offices based in Indonesia and an office in Singapore. 

The successful candidate will be responsible for enabling data-driven business decisions by turning complex data into meaningful and easy-to-understand insights. This position offers the opportunity to join an innovative and dynamic team alongside a growing network of dealers and agents.

Responsibilities

• Analyze complex data sets and develop business intelligence reports and dashboards to support company-wide decision-making.
• Collaborate with internal teams to understand their reporting needs and proactively identify opportunities for data analysis.
• Work with stakeholders to identify business requirements and translate them into reports and dashboards.
• Maintain and improve existing reports and dashboards, and implement new ones.
• Design and implement data models that support business requirements and ensure data accuracy.
• Develop SQL queries and perform data analysis to answer ad-hoc business questions.
• Identify data quality issues and work with the appropriate stakeholders to address them.

Requirements

• Minimum Bachelor’s degree Computer Science, Statistics, Mathematics, or in a relevant field with a strong academic track record.
• Have at least 1 year of professional experience in business intelligence, data analysis, or data visualization.
• Fluent in SQL and familiarity with dashboarding tools like Data Studio, Metabase or Tableau.
• Strong analytical and problem-solving skills, with the ability to identify patterns and insights and interpret complex data sets.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.
• Fluent in English.