Analytics Data Engineer

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Remote, ORtime type:
Full time posted on:
Posted 2 Days Agojob requisition :
5949
** Forming Our Future together
** Form Factor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon Form Factor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.

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. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.
** Shift:
** The regular hours for this position are day shift.
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* Job Description:

** 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.

This role offers the opportunity to work on cutting-edge projects and contribute to the success of our organization. If you are passionate about leveraging data to drive business insights and are excited about the opportunity to work with Oracle Analytics Cloud, we encourage you to apply for this position. Join us in shaping the future of analytics and making a meaningful impact on our organization.

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.

This position is US - Remote Eligible (Pacific time zone preferred). The role may include occasional work at an FFI office or attendance at offsites, as agreed to with your manager. FFI can employ in states where we have registered entities. The pay range for this role is between $72,100.00 and $94,605.00 and is dependent on the work location of the candidate selected.

Form Factor maintains broad salary ranges for its roles in order to account for variations in education, training, skills, relevant work experience, business needs and market demands. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. The base pay range is subject to change and may be modified in the future. 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.

Currently, employees cannot be located in:

AL, AK, AR, DE, GA, HI, IL, IA, KY, LA, ME, MD, MS, MO, NE, NV, NJ, NM, ND, OK, PA, RI, SC, SD, TN, WV, WI, WY. This list is continuously evolving and being updated, please check back with us if the state you live in is on the exclusion list.
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* Skills:…