Data Analytics Engineer

Data Engineer/Analyst to design, build, and maintain scalable data pipelines and deliver actionable analytics, including AI-driven analytics and predictive/forecasting models, to support business decision-making. This role bridges data infrastructure engineering with analytical and predictive reporting, build robust ETL/ELT pipelines, apply machine learning for forecasting, and translate data into insights via dashboards and ad hoc analysis.

Key Responsibilities:

• Design, build, and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources (databases, APIs, files, streaming)
• Develop and optimize data models for analytics and reporting
• Build and maintain dashboards/reports using BI tools
• Write efficient SQL queries and perform data analysis to answer business questions
• Ensure data quality, integrity, and governance across pipelines
• Monitor and troubleshoot data pipeline performance and failures
• Collaborate with stakeholders to gather requirements and translate them into data solutions
• Document data flows, schemas, and definitions for maintainability
• Support ad hoc data requests and exploratory analysis
• Develop AI-driven analytics and predictive models (forecasting, trend detection, anomaly detection) to support data-driven decision-making
• Apply machine learning techniques to historical data for forecasting business/operational outcomes (e.g., demand, cost, schedule risk)