
FAW Implementation Consultant
1 week ago
- Strong Data Warehousing Background with deep hands-on SQL & PL/SQL Experience
- Minimum 5 years of working experience in Oracle Analytics Cloud or Oracle Analytics Server with data warehouse model design / development exposure
- Good understanding of ERP Source, PVOs mapping to offerings, Finding Key columns in each PVO, BICC, UCM
- Lead at least 2 FAW Implementations with end to end experience (Provisioning to Roll-out)
- Provisioning of FAW instance, Configuring Source and Spinning ODI Marketplace instance
- Good understanding of FAW Architecture, Configurations, Initiating Pipeline, Validation of Measures, OOB project Decks, Implementation process flow
- Solid understanding of metadata (RPD) modeling & development skills
- Experience in developing analytical reports with complex formula, layouts
- Well versed with time series analysis, Dimensional hierarchies, setting up security
- Experience in ETL process Design, development, proof of validations and code migrations using ODI Marketplace
- Experience in Data Augmentation, Custom ETL extensions in FAW implementations
- Experience in BI Publisher Data Model and Reports creation
- Experience in creating RTF, Excel and PDF templates online / Offline
- Scheduling BI Publisher reports
- Reports Bursting
- Troubleshoot data issues from the analysis criteria all the way to Data Warehouse and to the source systems
- Experience working with multiple database systems (on premise and cloud)
- Experience in performance analysis, tuning, reconciliation of data with source systems, data accuracy validation and testing
- Knowledge of code migration, Change management – version control systems
- Ability/willing to switch from one Analytics technology to other and flexible to adapt new technologies.
- EBS or Oracle Fusion SaaS source system knowledge is a plus if not, Willingness to understand source system business process flow and learn the technical ER models
- Knowledge of non-Oracle analytics is a plus (Tableau, Power BI, Looker, QlikSense etc..)
What should you possess?
- Education qualification : Prefer B.E/B.Tech/M.Tech/MCA/M.Sc Computers or any Graduate
- A minimum of 5-8 years of experience in Oracle Analytics and other relevant with exposure to Data (ETL) Engineer Technical role.
- Hands-on Experience in technical Skills such as - SQL, PL/SQL, ODI components
- Technical exposure in either/combination of the EBS/Fusion modules like, HCM or SCM or CRM or Financials or Manufacturing.
- Possess good experience in Agile or Scrum Methodologies.
- Should possess hands-on experience in analytics configurations & setup.
- Possess fair understanding of different phases in SDLC and have independent project execution knowledge.
- Experience in creating documentation to support analysis and implementation for all aspects of Data & Analytics Role.
- Excellent Analytical, Communication, Listening and Customer interaction skill are required.
- Maintain high understanding of Dignity and Diversity in the workplace.
- Flexible and mature approach with ability to work unsupervised.
- Flexibility to travel and to take up assignments as per the needs of organization.
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