Data Analytics & Engineering Specialist

Data Engineering & Architecture

• Design, develop, and maintain efficient ETL/ELT pipelines for ingesting and transforming large datasets.

• Optimize data storage and retrieval in cloud or on-prem environments

• Ensure data integrity, security, and compliance across all systems.

Advanced Analytics

• Apply statistical and predictive modeling techniques to uncover trends, correlations, and business opportunities.

• Perform hypothesis testing, regression analysis, and develop forecasting models.

Visualization & Reporting

• Build interactive dashboards and reports using tools like Power BI, Tableau, or similar.

• Present complex insights in a clear, actionable format for technical and non-technical stakeholders.

Collaboration & Stakeholder Engagement

• Partner with cross-functional teams to understand data needs and deliver tailored solutions.

• Provide training and mentorship on data tools and best practices.

Quality & Process Improvement

• Monitor and improve data quality, implementing automation and process enhancements.

  • Identify opportunities for workflow optimization and data-driven decision-making.