FormFactor, Inc.
Position:
Analytics Data Engineer Location:
Remote, OR Position:
Analytics Data Engineer Location:
Remote, OR PURPOSE
We are looking for an experienced and driven Analytics Data Engineer to become a key member of our Analytics team in the US. The ideal candidate will have a strong background in Oracle Analytics Cloud (OAC), ODI Marketplace, Python, and a proven track record of delivering key analytical models. ESSENTIAL DUTIES AND 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. EDUCATION, EXPERIENCE, AND SKILLS
Bachelor's degree in Computer Science, Information Systems, or related field. Minimum of 2 years of experience working with Oracle Analytics Cloud (OAC/OBIA/OBIEE) or similar cloud-based analytics platforms. Minimum of 2 years of experience working with OBIEE/RPD modeling. Minimum of 2 years of ETL experience ODI/Informatica - ODI Preferred. Minimum of 2 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 Modeling. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Strong problem-solving skills and attention to detail. The pay range for this role in Oregon is between $72,100 and $94,605. Benefits offered for this role include medical, dental, vision, EAP, short-term and long-term disability, life insurance, flexible spending and savings accounts, 401(k), ESPP, and paid time off. FormFactor is committed to providing a work environment where everyone is treated with dignity and respect. We are an Equal Employment Opportunity (EEO) employer and are committed to compliance with all Federal, State, and local laws that prohibit employment discrimination on the basis of age, race, color, sex (including breastfeeding and related conditions), gender (including gender identity and gender expression), national origin, ancestry, sexual orientation, religion, physical or mental disability, marital status, registered domestic partner status, medical condition, military or veteran status, genetic characteristics or information, or any other legally protected characteristic.
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Analytics Data Engineer Location:
Remote, OR Position:
Analytics Data Engineer Location:
Remote, OR PURPOSE
We are looking for an experienced and driven Analytics Data Engineer to become a key member of our Analytics team in the US. The ideal candidate will have a strong background in Oracle Analytics Cloud (OAC), ODI Marketplace, Python, and a proven track record of delivering key analytical models. ESSENTIAL DUTIES AND 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. EDUCATION, EXPERIENCE, AND SKILLS
Bachelor's degree in Computer Science, Information Systems, or related field. Minimum of 2 years of experience working with Oracle Analytics Cloud (OAC/OBIA/OBIEE) or similar cloud-based analytics platforms. Minimum of 2 years of experience working with OBIEE/RPD modeling. Minimum of 2 years of ETL experience ODI/Informatica - ODI Preferred. Minimum of 2 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 Modeling. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Strong problem-solving skills and attention to detail. The pay range for this role in Oregon is between $72,100 and $94,605. Benefits offered for this role include medical, dental, vision, EAP, short-term and long-term disability, life insurance, flexible spending and savings accounts, 401(k), ESPP, and paid time off. FormFactor is committed to providing a work environment where everyone is treated with dignity and respect. We are an Equal Employment Opportunity (EEO) employer and are committed to compliance with all Federal, State, and local laws that prohibit employment discrimination on the basis of age, race, color, sex (including breastfeeding and related conditions), gender (including gender identity and gender expression), national origin, ancestry, sexual orientation, religion, physical or mental disability, marital status, registered domestic partner status, medical condition, military or veteran status, genetic characteristics or information, or any other legally protected characteristic.
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