Data Analytics Engineer - Consumer Insights & KPI Monitoring
2,500
ETH, DAI, USDT
+53
0 days (till Jan 30th, 2026)
We are seeking a skilled Data Analytics Engineer to join our team for a freelance project focused on consumer insights and real-time KPI monitoring. Project Overview:Develop and implement data pipelines and analytics solutions to extract actionable insights from consumer data. The project involves building automated ETL workflows, creating predictive models, and setting up real-time monitoring dashboards. Key Responsibilities:- Design and implement ETL/ELT pipelines using Apache Spark and Airflow- Build data warehousing solutions with proper governance and data quality controls- Develop machine learning models for customer segmentation and predictive analytics- Create real-time KPI monitoring dashboards using Tableau or Power BI- Analyze consumer behavior patterns and generate actionable business insights- Implement NLP solutions for customer feedback analysis- Set up automated alerting systems for KPI anomalies Required Skills:- Strong proficiency in Python (Pandas, NumPy) and SQL- Experience with Apache Spark and Airflow- Data warehousing and ETL/ELT expertise- Machine learning knowledge (Scikit-learn, TensorFlow)- Visualization tools (Tableau, Power BI)- Cloud platforms (AWS S3, Redshift)- Docker containerization- Understanding of retail analytics and consumer behavior Deliverables:- Automated data pipelines with monitoring- Predictive models for business optimization- Interactive dashboards with real-time KPIs- Documentation and data lineage Ideal for data engineers passionate about transforming raw data into business value.
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