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.

Requirements

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, BigQuery, Redshift, Azure Synapse)
Proficient in English and Indonesian Language.

Technical Skills

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, BigQuery, Amazon Redshift, or Azure Synapse Analytics.

Soft Skills

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.

Data Analyst