Data Analyst - Technology Sector

PT DSSE Energi Mas Utama; Jakarta Pusat; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

PT Dian Swastatika Sentosa Tbk is seeking a Data Analyst to collect, process, and analyze data to generate insights and support strategic decisions within the Technology business. The role collaborates with multiple teams to identify trends, create data-driven solutions, and deliver dashboards and reports that monitor KPIs and drive business performance.

Candidates should have strong SQL, plus experience with Power BI, Tableau, or Looker, and be able to translate complex data into clear

Qualifications

• Bachelor's degree with GPA >= 3.5 from a reputable university.
• 2–5 years experience in data analysis, BI, or related analytical role.
• Proficiency in SQL for data extraction, manipulation, and querying.
• Hands-on experience with Power BI, Tableau, or Looker.
• Strong Excel or Google Sheets skills.
• Python or R for data analysis is a plus.
• Strong analytical and problem-solving abilities.
• Understanding of data management, quality, and reporting.
• Ability to translate analyses into insights and recommendations.
• Excellent communication and collaboration across functions.

Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze large datasets to identify trends and business opportunities.
• Develop and maintain dashboards, reports, and KPIs.
• Translate requirements into analytical solutions for management decisions.
• Collaborate with stakeholders across functions to deliver analyses.
• Perform ad hoc analyses to support initiatives and projects.
• Monitor data quality and identify discrepancies.
• Apply statistical methods to optimize processes and growth.
• Support data-driven strategies and reporting frameworks.
• Document data processes and methodologies for knowledge sharing.

Skills

Analytical thinking

Problem solving

Data interpretation

Cross-functional communication

Stakeholder communication

Education

Bachelor's degree in Statistics, Mathematics, CS, IS, Data Science

Tools

SQL

Power BI

Tableau

Looker

Python

R

Job description

PT Dian Swastatika Sentosa Tbk or its subsidiaries is seeking a high-potential candidate to join as a Data Analyst to support its Technology business. The Data Analyst will be responsible for collecting, processing, analyzing, and interpreting data to generate meaningful business insights and support strategic decision-making. This role will work closely with cross-functional teams to identify business trends, develop data-driven solutions, and drive business performance improvements through effective data analysis and visualization.

Requirements:

1. Bachelor's degree in Statistics, Mathematics, Computer Science, Information Systems, Data Science, or a related field with a minimum GPA of 3.50 from a reputable university.

2. Minimum 2-5 years of experience in data analysis, business intelligence, or a related analytical role, preferably within the technology industry.

3. Proficiency in SQL for data extraction, manipulation, and querying.

4. Hands‑on experience with data visualization tools such as Power BI, Tableau, or Looker.

5. Strong proficiency in Microsoft Excel or Google Sheets.

6. Experience with Python or R for data analysis and statistical modeling is an advantage.

7. Strong analytical and problem‑solving skills with the ability to interpret complex datasets.

8. Good understanding of data management, data quality, and reporting methodologies.

9. Ability to translate analytical findings into clear business insights and recommendations.

10. Strong communication skills and ability to work collaboratively with stakeholders across different functions.

Key Responsibilities:

1. Collect, clean, validate, and organize data from multiple sources to ensure data accuracy, consistency, and reliability.

2. Analyze large and complex datasets to identify trends, patterns, correlations, and business opportunities.

3. Develop and maintain dashboards, reports, and data visualizations to monitor key business metrics and performance indicators (KPIs).

4. Translate business requirements into analytical solutions and provide actionable insights to support management decision‑making.

5. Collaborate with business stakeholders and cross‑functional teams to understand business needs and deliver relevant data analysis.

6. Perform ad hoc data analysis to support business initiatives, operational improvements, and strategic projects.

7. Monitor data quality and identify discrepancies, anomalies, and potential issues within datasets.

8. Utilize statistical methods and analytical techniques to identify opportunities for process optimization and business growth.

9. Support the development and implementation of data‑driven strategies and reporting frameworks.

10. Document data processes, analytical methodologies, and reporting procedures to ensure consistency and knowledge sharing.