Data Analyst

Responsibilities

• Collect, analyze, and interpret data from multiple internal and external sources to support business decision‑making.
• Design, develop, and maintain interactive dashboards and reports using BI tools such as Power BI, Qlik Sense, or Tableau.
• Collaborate with business stakeholders to define data requirements, KPIs, and performance metrics aligned with organizational goals.
• Transform raw data into meaningful insights through statistical analysis, visualization, and storytelling techniques.
• Ensure data accuracy and consistency by validating datasets, identifying anomalies, and coordinating with data engineering teams to resolve issues.
• Perform trend and variance analysis to identify opportunities, risks, and performance improvement areas.
• Develop and document data models and calculations that support standardized business reporting and self‑service analytics.
• Support data‑driven initiatives by providing ad hoc analyses and actionable recommendations to business teams.
• Automate recurring reports and analytical workflows to improve efficiency and reduce manual work.
• Monitor data refresh schedules and BI system performance, ensuring timely delivery and high availability of insights.

• Bachelor’s degree in Information Technology, Information Systems, or a related field;
  Master’s degree is a plus.
• Minimum 3 years of professional experience as a Data Analyst, BI Analyst, or Reporting Specialist.
• Hands‑on experience developing interactive dashboards and analytical reports using Power BI, Qlik Sense, or Tableau.
• Strong proficiency in SQL for data extraction, joining, and transformation from multiple sources.
• Understanding of data modeling concepts (star schema, snowflake schema) and KPI/metric definition for reporting purposes.
• Experience collaborating with business stakeholders to define and document analytical requirements.
• Familiarity with data warehouses or cloud data platforms (e.g., Snowflake, Big Query, Redshift, Azure Synapse).
• Proficient in English and Indonesian Language.

• Proficient in Power BI, Qlik Sense, or Tableau for creating dashboards, visual analytics, and storytelling with data.
• Strong command of SQL (joins, subqueries, window functions, CTEs) for extracting and transforming data from multiple sources.
• Experience with ETL/ELT concepts and collaboration with data engineers for data preparation.
• Understanding of dimensional modeling (star/snowflake schemas), data marts, and KPI definitions to support self‑service analytics.
• Working knowledge of Excel (advanced functions, Power Query, pivot tables) and experience with Python (pandas, numpy) or R for statistical analysis or automation.
• Familiarity with cloud environments such as Snowflake, Big Query, Amazon Redshift, or Azure Synapse Analytics.

• Analytical Mindset:
  Strong ability to interpret data, identify trends, and translate findings into actionable recommendations.
• Business Understanding:
  Able to connect data insights with business processes and strategic goals.
• Communication
  
  Skills:
  
  Clear and confident in presenting analytical results to stakeholders of varying technical backgrounds.
• Attention to Detail:
  Ensures data accuracy and consistency when preparing reports or dashboards.
• Critical Thinking:
  Evaluates data quality, questions assumptions, and validates findings before presentation.
• Collaboration:
  
  Works effectively with data engineers, IT, and business teams to define metrics and requirements.
• Adaptability:
  Comfortable working in dynamic environments with evolving data sources and business priorities.
• Storytelling with Data:
  Skilled in transforming complex datasets into intuitive and meaningful visual narratives.