Data Analyst/Data Engineer
Detail posisi
We are seeking a talented Data Analyst with expertise in data visualization and business intelligence tools such as QlikSense, Looker, and similar platforms. The role involves analyzing complex datasets, creating insightful dashboards, and collaborating with cross-functional teams to drive data-informed decision-making.
Kewajiban
Data Visualization:
• Design, develop, and maintain interactive dashboards and reports using QlikSense, Looker, Power BI, or other visualization tools.
• Ensure dashboards and reports are user-friendly and provide actionable insights.
Data Analysis and Reporting:
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Prepare and deliver detailed reports and visualizations to support business decisions.
Data Management:
• Collaborate with Data Engineers to ensure data accuracy, quality, and readiness for analysis.
• Develop and maintain data models and workflows for efficient reporting.
Stakeholder Collaboration:
• Work closely with business units to gather requirements and translate them into data solutions.
• Communicate findings effectively to technical and non-technical stakeholders.
Continuous Improvement:
• Proactively identify areas for process improvement in data visualization and analytics.
• Stay updated with the latest trends and tools in data analytics and visualization.
Kualifikasi
Qualifications:
• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related fields.
• Experience: 2+ years in a data analysis or business intelligence role.
• Technical Skills:
• Proficiency in QlikSense, Looker, Power BI, or Tableau.
• Strong SQL skills for data extraction and manipulation.
• Familiarity with data modeling techniques and ETL processes.
Qualifications:
• Bachelor Degree or higher degree in Computer Science, Computer Engineering or related field.
• Significant proficiency in SQL and NoSQL databases.
• Significant proficiency in Python or Rust.
• Familiar with data warehouse, Data Lake, and data lakehouse architectures (e.g., Databricks).
• Familiar with container-based technologies (e.g., Docker, Kubernetes), and orchestration tools (e.g., MLflow, Argo Workflow, Airflow).