Desired Experience/Skills:
  • Passionate About Data: You are an expert in SQL and have a passion for the ‘modern data stack’ (ie: ingest and transformation tools, cloud-based DWH, and BI).
  • You have 5+ years of experience in a hands-on data role, with some experience as a data owner for a department (Python experience a plus)
  • 5+ years of experience Designing and implementing ETL solution using Oracle BI APPS for Oracle ERP
  • 5+ Years of experience in Informatica with BI APPS
  • Ability to independently work on BI projects/tickets and design & develop BI solution
  • Solid understanding of GL, AP and AR data models and implementation experience of additional OBIA such as P&S Analytics, Spend Classification and SCM analytics is plus
  • Hands on experience in Data Integration and solid understanding of GL, AP and AR data models in EBS is required
  • Hands on experience in Data Modeling and OBIA star schema
    Good understanding on DAC, Informatica ETL architecture and OBIEE pre build data model
  • Collaborative: You possess the ability to partner smoothly with engineering teams to design, implement and test data infrastructure, and with business users to support data-driven outcomes
  • Experience transforming data in modeling tools such as dbt, Dataform, and working with a cloud-based data warehouse (BigQuery/GCP experience a plus)
  • You possess a deep curiosity and tenacity to understand data and business questions
What You’ll Do:
  • Work with the data engineering team to properly identify and ingest critical data from internal and
    external sources
  • Partner with multiple internal business organizations to ensure tracking, pipelines and modeling meet
    business needs and technical best practices
  • Create highly readable and auditable models for use in analytics/reporting, product and business
  • Contribute to creating a data centric organization by onboarding and training business users to our data analysis and visualization tools
  • Build mission critical analyses and reporting which are central and pertinent to senior leadership and
    majority of the company (new users, active users, platform utilization etc.)
  • Be a key partner in building a high-performing data org by sharing knowledge, creating dynamic
    processes and creating documentation that helps us scale