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Key Responsibilities and Required Skills for Oracle Business Intelligence Analyst

💰 $ - $

Business IntelligenceOracleAnalyticsData Engineering

🎯 Role Definition

The Oracle Business Intelligence Analyst is a subject-matter expert responsible for designing, developing, deploying and supporting enterprise-level Oracle BI solutions (OBIEE/Oracle Analytics Cloud/OAC). This role combines technical hands-on work—RPD modeling, dashboard/report development, SQL/PLSQL tuning and ETL coordination—with business-facing responsibilities such as requirements gathering, KPI definition, and stakeholder enablement. The ideal candidate delivers high-quality, performant analytics that drive business decisions and supports cloud migration, governance and BI platform administration.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Business Intelligence Developer (OBIEE/OAC)
  • Data Analyst / Reporting Analyst
  • ETL Developer or Data Warehouse Developer

Advancement To:

  • Senior Oracle BI Analyst / Senior BI Developer
  • Oracle BI Architect / BI Solutions Architect
  • Manager of Business Intelligence / Analytics Manager
  • Head of Data & Analytics

Lateral Moves:

  • Data Engineer (ETL/ELT focus)
  • Analytics Translator / Product Data Analyst
  • Data Governance Specialist

Core Responsibilities

Primary Functions

  • Lead the end-to-end design, build and delivery of Oracle BI solutions (OBIEE 11g/12c, Oracle Analytics Cloud) including RPD repository modeling, logical/physical metadata design, subject areas and presentation layer configuration to support enterprise reporting and dashboards.
  • Develop and maintain pixel-perfect operational and strategic reports using Oracle BI Publisher, Answers and Dashboards, ensuring accuracy of KPIs, drill paths, bursting, multi-format outputs (PDF, Excel, XML) and scheduled distribution.
  • Create and optimize complex SQL and PL/SQL queries for large-scale data extraction and transformation; tune SQL for performance and collaborate with DBAs to improve database execution plans and indexing strategies.
  • Build and maintain semantic layer (RPD) including dimension modeling, hierarchies, aggregate navigation, caching strategies and logical joins to ensure consistent business definitions and high-performance query execution.
  • Implement and maintain security models for the BI platform: repository-level authentication/authorization, integration with LDAP/Active Directory, SSO / SAML / OAuth configurations, row-level and column-level security.
  • Design, develop and validate dimensional and relational data models in the data warehouse to support BI requirements; work closely with data engineering/ETL teams to define source-to-target mappings and incremental load strategies.
  • Lead requirements gathering workshops with business stakeholders to define reporting needs, KPIs, acceptance criteria and SLAs; translate business requirements into technical specifications and deliverable timelines.
  • Own the BI development lifecycle: version control (Git/Bitbucket), branching strategies, migration scripts, promotion between development/test/production environments and production deployment plans.
  • Troubleshoot and resolve BI platform incidents and production issues (slow queries, failed schedules, rendering problems) with root cause analysis, corrective actions and documentation of fixes.
  • Drive OBIEE/OAC platform administration tasks including configuration, patching, cluster management, load balancing, log management and capacity planning in collaboration with infrastructure/DevOps teams.
  • Design and implement ETL/ELT integration patterns using Oracle Data Integrator (ODI), Informatica, or native database procedures; validate data lineage, reconciliation and auditability for all critical KPIs.
  • Lead performance tuning initiatives across the BI stack: RPD optimizations, cache strategies, presentation services tuning and orchestration of database and middleware changes to meet SLAs.
  • Create reusable report templates, reporting standards, metadata dictionaries and best-practice documentation to ensure governance, consistency and faster delivery of analytics solutions.
  • Support and execute migrations from on-premise OBIEE to Oracle Analytics Cloud (OAC), including compatibility assessments, migration planning, regression testing and cutover orchestration.
  • Develop dashboards and visualizations that follow UX best practices, accessibility guidelines and mobile responsiveness while ensuring the design communicates insights effectively to business users.
  • Partner with data governance, security and compliance teams to enforce data protection policies, PII masking, encryption in transit/at rest and audit logging for regulatory requirements.
  • Mentor junior BI developers and analysts; conduct code reviews, knowledge transfer sessions and training to upskill teams on Oracle BI technologies and enterprise reporting standards.
  • Establish monitoring and alerting for report execution, ETL health, and BI platform stability using enterprise monitoring tools (e.g., Oracle Enterprise Manager, Grafana, Nagios).
  • Validate data quality through automated reconciliation tests, regression suites and data validation scripts to ensure reliability of reports used for critical business decisions.
  • Manage stakeholder communications, prioritize competing requests, and maintain a BI backlog in Agile frameworks; participate in sprint planning, demos and retrospectives to drive continuous improvement.
  • Coordinate with application owners and subject matter experts to onboard new data sources into the analytics ecosystem, including API ingestion, flat file loads, and database replication sources.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis.
  • Contribute to the organization's data strategy and roadmap.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.
  • Provide end-user training, create how-to guides and run BI office-hours to increase self-service adoption.
  • Produce regular status reports, release notes and documentation for BI deliverables and platform changes.
  • Assist in vendor evaluations, proof-of-concepts and selection of third-party visualization or data integration tools.
  • Contribute to cost optimization efforts for cloud-based BI services by advising on resource sizing, query optimization and licensing.
  • Assist internal audit and compliance teams with BI-related evidence, report lineage and configuration details during reviews.

Required Skills & Competencies

Hard Skills (Technical)

  • Deep expertise in Oracle Business Intelligence suite: OBIEE (11g/12c) and Oracle Analytics Cloud (OAC) administration, development and migration.
  • Strong experience building and maintaining RPD repositories: physical, logical, presentation layers, subject areas and logical joins.
  • Advanced SQL and PL/SQL skills for complex query development, performance tuning and stored procedure development.
  • Hands-on experience with Oracle BI Publisher for template design, bursting, delivery channels and layout optimization.
  • Familiarity with ETL/ELT tools such as Oracle Data Integrator (ODI), Informatica, or Talend and understanding of ELT orchestration patterns.
  • Solid knowledge of dimensional modeling, star/snowflake schemas, slowly changing dimensions and conformed dimensions in data warehouses.
  • Experience with middleware and application servers used by OBIEE/OAC (WebLogic, Oracle Fusion Middleware) and related configuration.
  • Proficiency with authentication and SSO integrations: LDAP/Active Directory, SAML, OAuth, and roles-based access controls.
  • Performance tuning skills across BI stack: RPD optimization, caching strategies, database tuning, and presentation services configuration.
  • Familiarity with cloud platforms (Oracle Cloud Infrastructure), cloud analytics services, and best practices for cloud migrations.
  • Experience with version control (Git), CI/CD pipelines for BI artifacts and automated deployment tools.
  • Ability to write automation scripts in Shell, Python or PowerShell for deployment, monitoring and data validation tasks.
  • Knowledge of reporting and visualization best practices; experience with additional tools such as Tableau, Power BI or Qlik is a plus.
  • Understanding of data governance, data lineage, metadata management and regulatory compliance (GDPR, CCPA).
  • Experience with monitoring and logging tools (Oracle Enterprise Manager, Grafana, ELK) for observability and SLA enforcement.

Soft Skills

  • Excellent stakeholder management and requirement elicitation skills; able to translate business questions into analytics deliverables.
  • Strong analytical thinking and problem-solving with meticulous attention to data accuracy and details.
  • Clear verbal and written communication: prepare documentation, present dashboards to executives and run training sessions.
  • Project management and prioritization skills; comfortable balancing multiple deliverables in a fast-paced environment.
  • Collaborative team player who partners with data engineers, DBAs, product owners and business SMEs.
  • Mentoring and coaching capability to grow junior team members and spread best practices.
  • Adaptability and continuous learning mindset to stay current with Oracle BI updates and analytics trends.
  • Customer-centric approach with a focus on usability, performance and stakeholder satisfaction.
  • Strong time management and ability to meet SLAs and delivery timelines.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, Business Analytics or related technical/business field.

Preferred Education:

  • Master’s degree in Data Science, Information Systems, Business Analytics or MBA with analytics concentration.
  • Oracle certifications (Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist, Oracle Analytics Cloud Certified Specialist) preferred.

Relevant Fields of Study:

  • Computer Science
  • Information Systems
  • Business Analytics
  • Data Science
  • Mathematics / Statistics

Experience Requirements

Typical Experience Range: 3–8 years of progressive experience in business intelligence, reporting or analytics roles.

Preferred: 5+ years of focused experience working with Oracle BI technologies (OBIEE/OAC/RPD/BI Publisher), successful participation in at least one enterprise-scale OBIEE deployment or migration to Oracle Analytics Cloud, and demonstrated experience working with data warehouse teams, ETL processes and BI platform administration.

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