Data Analyst

PT.Japfa Comfeed Indonesia; Surabaya ꦱꦸꦫꦧꦪ; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A prominent data-driven company in Surabaya is seeking a Data Analyst to support business intelligence initiatives. The ideal candidate will have a strong background in developing dashboards with Power BI, Qlik Sense, or Tableau, and at least 3 years of experience in data analysis. Proficiency in SQL and familiarity with cloud data platforms are essential. This role requires both analytical skills and effective communication with stakeholders.

Qualifications

• Minimum 3 years of experience as a Data Analyst, BI Analyst, or Reporting Specialist.
• Hands-on experience with Power BI, Qlik Sense, or Tableau.
• Proficient in English and Indonesian language.

Responsibilities

• Collect and analyze data from multiple sources to support decision-making.
• Design and maintain dashboards and reports using BI tools.
• Collaborate with stakeholders to define data requirements.

Skills

Power BI

SQL

Qlik Sense

Tableau

Python

R

Education

Bachelor’s degree in Information Technology or related field

Master’s degree

Tools

Excel

Cloud data platforms (Snowflake, BigQuery, etc.)

Job description

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.