Deskripsi Pekerjaan
Are you a data-driven professional with a passion for the construction industry? ConnectOS is seeking a highly analytical AI Analyst to join our dynamic team in Manila. In this pivotal role, you will act as the bridge between raw data and actionable intelligence. You will collaborate extensively with Data Engineers and Data Analysts to map data lineage, ensure impeccable data quality, and optimize end-to-end information flow within our construction project frameworks.
You will be instrumental in identifying patterns, automating routine insights, and leveraging AI tools to drive operational efficiency. This is a hybrid opportunity for someone who thrives in a collaborative, fast-paced environment and possesses the technical acumen to translate complex data sets into strategic business advantages.
Tanggung Jawab
- Develop and maintain comprehensive documentation of data lineage across construction project information flows.
- Audit and improve data quality standards to ensure accuracy in AI-driven predictive modeling.
- Collaborate with Data Engineers to design, implement, and monitor robust data pipelines.
- Perform deep-dive analysis on construction operational data to identify bottlenecks and efficiency opportunities.
- Translate technical findings into clear, actionable reports for non-technical stakeholders.
- Support the implementation of machine learning models tailored to construction sector requirements.
- Proactively identify and mitigate data anomalies to ensure reliable automated outputs.
Kualifikasi
- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related quantitative field.
- Minimum of 2-3 years of experience in data analysis or a similar AI-focused analytical role.
- Strong proficiency in SQL and experience with data visualization tools (e.g., PowerBI, Tableau).
- Solid understanding of data governance, data lineage, and quality assurance principles.
- Familiarity with the construction industry workflow is highly desirable.
- Experience working in a hybrid environment with cross-functional global teams.
- Analytical mindset with the ability to interpret complex technical information for business users.
- Proficiency in Python or R for data manipulation and statistical analysis.