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3-5 Years
Not Disclosed
Early Applicant
  • Posted 20 hours ago
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Job Description

Job Summary

This hybrid role is for a Developer with three to five years of experience specializing in Oracle Analytics Cloud within an MNC environment. The role focuses on designing and delivering analytics solutions that support billing and revenue management and broader industry essentials ensuring data driven insights that improve operational efficiency and strategic decision making for global stakeholders. Travel is not required and work is performed during day shifts.

Responsibilities

  • Design and implement Oracle Analytics Cloud solutions that transform complex billing and revenue data into clear and actionable insights for business teams
  • Develop robust data models and semantic layers in Oracle Analytics Cloud that align with industry essentials and billing processes for high quality analytics delivery
  • Build interactive dashboards and reports that enable stakeholders to monitor revenue performance customer behavior and operational efficiency in near real time
  • Optimize Oracle Analytics Cloud queries and data pipelines to ensure stable performant and scalable analytics platforms that can handle growing business demands
  • Collaborate with billing and revenue management specialists to translate functional requirements into technical designs that accurately reflect domain rules and constraints
  • Integrate Oracle Analytics Cloud with upstream and downstream systems to ensure consistent data flows that support end to end visibility of revenue lifecycles
  • Implement data validation and reconciliation routines that improve the accuracy completeness and reliability of analytics outputs used in financial decision making
  • Document solution designs data transformations and configuration steps to support maintainability audit readiness and knowledge sharing across project teams
  • Coordinate with hybrid working teams to plan releases manage configurations and align analytics delivery with day time operational windows and stakeholder availability
  • Conduct unit testing and support system integration testing to verify that analytics solutions perform correctly against billing and revenue management scenarios
  • Provide day shift production support for analytics issues by investigating root causes and applying timely fixes that minimize disruption to business reporting
  • Identify opportunities to enhance analytics coverage by introducing new metrics and visualizations that better reflect industry essentials and evolving business needs
  • Engage with data governance practices by following enterprise standards for security privacy and control of financial and customer related data in analytics

Qualifications

  • Bring three to five years of hands on experience in Oracle Analytics Cloud with a track record of delivering enterprise grade dashboards and reports that drive business outcomes
  • Demonstrate strong understanding of billing and revenue management processes including rating invoicing collections and revenue recognition from a data perspective
  • Apply knowledge of industry essentials such as customer lifecycle management product hierarchies and service usage patterns to design relevant analytics solutions
  • Show proficiency in data modeling data transformation and query optimization to ensure Oracle Analytics Cloud artifacts are efficient reliable and easy to maintain
  • Utilize experience working in hybrid models and day shifts to collaborate effectively with cross functional teams using remote and in office communication practices
  • Exhibit strong analytical and problem solving skills with the ability to investigate data issues interpret trends and present clear findings to nontechnical stakeholders
  • Prefer experience with broader cloud data ecosystems such as enterprise data warehouses and integration tools that complement Oracle Analytics Cloud implementations

More Info

Job Type:
Industry:
Employment Type:

Key Skills

Oracle Analytics Cloud

integration tools

reconciliation routines

enterprise data warehouses

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