Analytics Data Engineer
2 weeks ago
Responsibilities:
· Design, develop, and maintain data warehouse solutions using Oracle Cloud platform with Oracle Analytics Cloud and ODI Marketplace.
· Collaborate with cross-functional teams to gather and analyze business requirements for analytical models and reporting solutions.
· Develop, implement and support data integration processes to extract, transform, and load (ETL) data from various sources into the data warehouse.
· Design and optimize data models to support business analytics and reporting requirements.
· Develop and deploy analytical models using Oracle Analytics Cloud (OAC) to provide insights and drive decision making.
· Perform data analysis and troubleshooting to identify root causes of issues and implement solutions.
· Develop and maintain documentation of data warehouse architecture, processes, and procedures.
· Stay up-to-date on industry trends and best practices in data warehousing, analytics, and cloud technologies.
Requirements:
· Bachelor's Degree in Computer Science / Information Systems, or related field.
· Minimum of 8 years of experience working with Oracle Analytics Cloud (OAC/OBIA/OBIEE) or similar cloud-based analytics platforms.
· Minimum 8 years of experience working with OBIEE/RPD modeling
· Minimum of 8 years of ETL experience ODI/Informatica - ODI Preferred
· Minimum of 4 years of experience building Analytics Visualization using tools like OAC, Power BI, OBIEE, Tableau
· Strong proficiency in Oracle (SQL/PLSQL) and experience with data modeling and database design principles.
· Experience with data integration tools and techniques
· Experience in designing end-to-end implementation involving Data Analysis, Data Cleansing and Data Modelling
· Experience in collaborating Design reviews with the business analysts and business users to create a proof of concept for the reports.
· Experience in handling Finance and SCM data and the related data pipelines.
· Knowledge in Oracle EBS COA, OU, MOAC , multi-currency configurations.
· Knowledge of data warehousing concepts and methodologies, including star schema, snowflake schema, and dimensional modeling.
· Experience developing and deploying analytical models using Oracle Analytics Cloud (OAC) or similar tools.
· Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
· Strong problem-solving skills and attention to detail.
· Oracle certifications in Analytics Cloud or related areas (preferred).
· Experience in Python to develop machine learning models and AI-driven solutions for predictive analytics and process optimization is a plus
Tell employers what skills you haveOracle Cloud
Tableau
Machine Learning
Oracle
Data Analysis
Data Modeling
Pipelines
ETL
Data Integration
Predictive Analytics
Python
Business Analytics
Database Design
Visualization
Power BI
Data Warehousing
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