Data Analyst

PT.Japfa Comfeed Indonesia; Surabaya ꦱꦸꦫꦧꦪ; On-site; IDR 120.000.000 - 180.000.000; Full time

Job summary

A leading food production company in Surabaya is seeking an experienced Data Analyst to collect and interpret data to support business decisions. The ideal candidate will have at least 3 years of experience in dashboard development using tools like Power BI or Qlik Sense, strong SQL skills, and the ability to automate reports. Proficiency in both English and Indonesian is required. The role will enable you to provide actionable insights and collaborate with various stakeholders to align data strategies with business goals.

Qualifications

• Minimum 3 years of experience as a Data Analyst, BI Analyst, or Reporting Specialist.
• Experience with ETL/ELT concepts and collaboration with data engineers is a plus.
• Proficient in English and Indonesian languages.

Responsibilities

• Collect and analyze data from multiple sources.
• Design and maintain dashboards using BI tools.
• Collaborate with stakeholders on data requirements.
• Ensure data accuracy and consistency.
• Automate reports and analytical workflows.

Skills

Data analysis

Dashboard development

SQL proficiency

Statistical analysis

Collaboration

Data visualization

Education

Bachelor’s degree in Information Technology

Master’s degree (optional)

Tools

Power BI

Qlik Sense

Tableau

Excel

Python (pandas, numpy)

R

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.