What are the responsibilities and job description for the Lead Oracle Analytics Cloud Technical Consultant position at BLUE HORSE ANALYTICS LLC?
Job Description
Job Description
Experience Level : Mid-Senior (3-5 years)
Location : Remote
Job Type : Contract (1099)
About the Role :
We are seeking an experienced Oracle Analytics Cloud (OAC) Lead to join our team as a 1099 contractor. The ideal candidate will have a strong background in Oracle Analytics, data integration, and business intelligence. This role involves leading the design, development, and implementation of OAC solutions to meet our clients' business needs.
Key Responsibilities :
- Lead the design and implementation of Oracle Analytics Cloud (OAC) solutions.
- Guide technical decisions and mentor team members as the domain expert.
- Collaborate with stakeholders to gather and analyze business requirements.
- Develop data models, dashboards, and reports using OAC.
- Ensure data accuracy and integrity across all analytics solutions.
- Provide technical leadership and mentorship to supporting team members.
- Troubleshoot and resolve issues related to OAC implementations.
- Stay updated with the latest OAC features and best practices.
- Assess the current legacy BI environment and plan the migration strategy, including scope, objectives, and timeline.
- Migrate data from legacy BI environment to OAC, involving extraction, transformation, and loading.
- Recreate semantic models and reports in OAC by replicating datasets from legacy BI environment.
- Develop user-friendly dashboards in OAC to enhance reports.
- Integrate OAC with other systems and perform thorough testing to ensure accuracy.
- Train users on OAC and provide ongoing support for a smooth transition.
- Set up the OAC environment and configure necessary pipelines for data flow.
- Integrate OAC with other relevant systems for seamless data flow and reporting.
- Design and develop customized dashboards and reports based on organizational needs.
- Conduct workshops and training sessions for end-users.
- Optimize data models and workflows for improved performance and efficiency
Qualifications :
Preferred Qualifications :