Data Analyst Intern

Deskripsi pekerjaan

Job Description

• Support root cause identification for dashboard/report issues through data validation and error pattern analysis.
• Perform root-cause analysis for dashboard/report discrepancies using Google BigQuery (SQL) and escalate technical issues to Data Engineers when needed.
• Document findings related to dashboard inconsistencies, query mismatches, and recurring issues.
• Assist in deploying and maintaining dashboards/reports using Google Sheets and Google Looker Studio.
• Support dashboard QA and validation in collaboration with engineering and business teams.
• Gather, clean, transform, and prepare data from multiple sources for reporting purposes.
• Support exploratory data analysis to identify trends, anomalies, or discrepancies.
• Collaborate with cross-functional stakeholders to understand reporting requirements and support report enhancement initiatives.

Qualifications

• Bachelor’s degree or final-year student in Statistics, Mathematics, Computer Science, Data Science, or related fields.
• Open for fresh graduates; internship experience is a plus.
• Proficient in Excel / Google Sheets and SQL (Google BigQuery / Standard SQL).
• Strong understanding of data analytics and data processing.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Detail-oriented and eager to learn in a fast-paced environment.

Tanggung jawab

• Support root cause identification for dashboard/report issues through data validation and error pattern analysis.
• Perform root-cause analysis for dashboard/report discrepancies using Google BigQuery (SQL) and escalate technical issues to Data Engineers when needed.
• Document findings related to dashboard inconsistencies, query mismatches, and recurring issues.
• Assist in deploying and maintaining dashboards/reports using Google Sheets and Google Looker Studio.
• Support dashboard QA and validation in collaboration with engineering and business teams.
• Gather, clean, transform, and prepare data from multiple sources for reporting purposes.
• Support exploratory data analysis to identify trends, anomalies, or discrepancies.
• Collaborate with cross-functional stakeholders to understand reporting requirements and support report enhancement initiatives.