Moladin in Jakarta Selatan is seeking a final-year student or recent graduate to support data analysis and process improvement initiatives. The role includes maintaining project documentation, assisting in quality control, and collaborating with cross-functional teams. Ideal candidates should have strong analytical skills, attention to detail, proficiency in Google Workspace, and a willingness to learn. This is an excellent opportunity for those passionate about data and looking to gain experience in a dynamic environment.
Qualifications
Strong analytical thinking and problem-solving abilities.
Attention to detail and a passion for working with data.
Have a positive attitude and willingness to learn.
Responsibilities
Support data analysis efforts to identify portfolio trends, risks, and improvement opportunities.
Contribute to process improvement initiatives, including mapping workflows and spotting inefficiencies.
Maintain project trackers, timelines, and meeting documentation.
Education
Final-year student or recent graduate in Finance, Economics, Business Analytics, Engineering, Data Science, or related fields
Tools
Google Workspace (Sheets, Slides)
Job description
Responsibilities
Support data analysis efforts to identify portfolio trends, risks, and improvement opportunities.
Contribute to process improvement initiatives, including mapping workflows, spotting inefficiencies, and supporting the rollout of new risk-related procedures.
Maintain project trackers, timelines, and meeting documentation
Assist in preparing and documenting data for new risk-related projects and credit strategy development.
Standardize and clean data from various sources to ensure consistency across departments.
Collaborate with cross-functional teams (i.e. Data, Ops, Appraisal, Credit Analyst, Product) to ensure data accuracy and consistency in the analysis process.
Assist in quality control activities and support the preparation of reports and presentations for internal stakeholders.
Requirements
Final-year student or recent graduate in Finance, Economics, Business Analytics, Engineering, Data Science, or other related fields.
Strong analytical thinking and problem-solving abilities.
Attention to detail and a passion for working with data.
Strong proficiency in Google Workspace (especially Sheets, Slides).
Have a positive attitude and willingness to learn.