Analytics Data Engineer

**Job Title**: Analytics Data Engineer

**Company**: Formfactor

**Location**: Singapore

As a leading player in the semiconductor industry, FormFactor actively seeks out individuals who are not just employees, but passionate contributors eager to thrive in an ever-evolving landscape. At FormFactor, we are not just shaping the future of semiconductors; we are rewriting the narrative of innovation itself.

Our commitment extends beyond the technical realm to the very fabric of our culture. Rooted in our core values—Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People—we foster an environment where diverse perspectives are not only welcomed but celebrated. Join us in experiencing the exhilaration of collaborating with a dynamic team, pushing the boundaries of what's possible, and contributing to a workplace where your voice is not just heard but valued and empowered. Become an integral part of our journey as we collaboratively Form Our Future Together, setting the stage for a new era in semiconductor excellence.

**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 of 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

Experience in using Python and relevant libraries for Image Processing: OpenCV, PIL/Pillow, TensorFlow/Keras (for vision-based models), Predictive Analytics - scikit-learn, XGBoost, LightGBM, and Prophet, Document Reading - PyPDF2, pdfplumber, Tesseract OCR, and transformers (e.g., Hugging Face for NLP tasks) is desirable.