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 reportingBuild and maintain dashboards/reports using BI toolsWrite efficient SQL queries and perform data analysis to answer business questionsEnsure data quality, integrity, and governance across pipelinesMonitor and troubleshoot data pipeline performance and failuresCollaborate with stakeholders to gather requirements and translate them into data solutionsDocument data flows, schemas, and definitions for maintainabilitySupport ad hoc data requests and exploratory analysisDevelop AI-driven analytics and predictive models (forecasting, trend detection, anomaly detection) to support data-driven decision-makingApply machine learning techniques to historical data for forecasting business/operational outcomes (e.g., demand, cost, schedule risk)