Data Analys
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Key skills for this role
About the Role
PT. Pilar Arsitektur Rancang Bangun is seeking a Data Analyst to transform raw data into actionable insights. The role involves collecting, cleaning, and analyzing datasets, building dashboards, and supporting data-driven decision-making.
Key Skills for This Role
Responsibilities
- Collect, validate, and clean datasets from multiple sources
- Analyze data using statistical methods and identify trends, patterns, and correlations
- Build dashboards, reports, and visualizations to communicate insights to non technical stakeholders
- Support data driven decision making by preparing summaries, metrics, and performance indicators
- Collaborate with cross functional teams to understand business needs and translate them into data analysis tasks
- Document analytical procedures, data sources, and results
- Assist in maintaining databases and data systems, ensuring data quality and consistency
- Identify opportunities for process improvements and contribute to building more efficient data workflows
- Support predictive modeling and basic forecasting under guidance
- Monitor and track business performance metrics, highlighting risks and opportunities
Requirements
- Coursework or experience in data analysis, statistics, mathematics, economics, computer science, or related fields
- Strong analytical and critical thinking skills
- Familiarity with analytical tools such as Excel, SQL, Python, R, or data visualization platforms
- Ability to create clear and informative charts, dashboards, and reports
- Understanding of basic statistical concepts and data cleaning techniques
- Strong attention to detail
- Good organizational skills and ability to manage multiple tasks
- Problem solving mindset
- Collaborative attitude and strong communication skills
Full Job Posting
Role Overview
- The Data Analyst plays a crucial role in transforming raw data into meaningful insights that support strategic decision making.
- This position is responsible for collecting, cleaning, analyzing, and interpreting large datasets, as well as preparing reports and visualizations that clearly communicate trends and opportunities.
- The role is ideal for someone analytical, detail oriented, and passionate about solving problems using data.
Key Responsibilities
- Collect, validate, and clean datasets from multiple sources to ensure accuracy and reliability.
- Analyze data using statistical methods and identify trends, patterns, and correlations relevant to business goals.
- Build dashboards, reports, and visualizations to communicate insights to non technical stakeholders.
- Support data driven decision making by preparing summaries, metrics, and performance indicators.
- Collaborate with cross functional teams to understand business needs and translate them into data analysis tasks.
- Document analytical procedures, data sources, and results for future reference.
- Assist in maintaining databases and data systems, ensuring data quality and consistency.
- Identify opportunities for process improvements and contribute to building more efficient data workflows.
- Support predictive modeling and basic forecasting under the guidance of senior analysts or data scientists.
- Monitor and track business performance metrics, highlighting risks and opportunities.
Qualifications and Requirements
- Coursework or experience in data analysis, statistics, mathematics, economics, computer science, or related fields is beneficial.
- Strong analytical and critical thinking skills with the ability to interpret complex datasets.
- Familiarity with analytical tools such as Excel, SQL, Python, R, or data visualization platforms.
- Ability to create clear and informative charts, dashboards, and reports.
- Understanding of basic statistical concepts and data cleaning techniques.
- Strong attention to detail and commitment to maintaining high data accuracy.
- Ability to explain technical findings in a simple and actionable way for non technical audiences.
- Good organizational skills and ability to manage multiple tasks simultaneously.
- Problem solving mindset with willingness to explore and test different analytical approaches.
- Collaborative attitude and strong communication skills for working with team members across departments.
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