Data Modeling Specialist

2 days ago

Amrāvati, Maharashtra, India beBeeAnalytics Full time ₹ 1,30,80,000 - ₹ 2,01,60,000
Job Overview

We are seeking a highly skilled Analytics Solutions Engineer to design and deliver end-to-end analytics solutions using Oracle Analytics Cloud, Autonomous Data Warehouse, and related tools. The successful candidate will play a crucial role in building scalable data models, data pipelines, and impactful dashboards for enterprise clients.

  • Lead architecture, setup, and delivery of projects that involve NetSuite Analytics Warehouse and Oracle Analytics Cloud.
  • Develop custom calculations, time series functions, and metrics tailored to business Key Performance Indicators (KPIs).
  • Extend and maintain the semantic model to support complex reporting needs.
  • Design and implement data pipelines between NetSuite and ADW/OAC.
  • Build data models, transformation logic, KPIs, and dashboards for finance and operational reporting.
  • Troubleshoot technical issues and performance bottlenecks across data layers.
  • Define best practices for solution design, governance, and documentation.
  • Collaborate with functional consultants to understand reporting requirements.
Required Skills and Qualifications
  • 1-3 years of hands-on experience in Oracle Analytics, Business Intelligence, or Data Warehousing.
  • Strong implementation experience with NetSuite Analytics Warehouse (NSAW), Oracle Analytics Cloud (OAC), and Autonomous Data Warehouse (ADW).
  • Solid understanding of NetSuite data structures and reporting needs.
  • Bachelor's degree in computer science, Engineering, Data Analytics, or related field.
  • Oracle certifications preferred but not mandatory.
What We Offer

This is an excellent opportunity to work with cutting-edge technology and contribute to the development of innovative analytics solutions. You will have the chance to collaborate with a talented team of professionals and gain valuable experience in a fast-paced industry.

You should have strong SQL skills and experience with data transformations, proficiency in building visualizations, reports, and dashboards, understanding of data modelling, and experience with semantic model extensions, calculated fields, and custom logic.

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