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Data Analyst or Data Modeler with Energy Components experience

1 month ago

Texas City, United States Saxon Global Full time

Client Name / Domain: Chevron

Data Analyst or Data Modeler with Energy Components experience

Location: Houston, TX (Hybrid)

Bill Rate: $65/hr. on C2C

Visa: USC , GC and H4EAD

Duration: 12+ mos. Contract

  • Skills: Office 365, PL/SQL, Oracle, SQL, ADLS, Databricks, Synapse, Azure SQL, SAP S/4HANA, Energy Components
  • Experience: 10+ years
Client is looking for a Data Analyst with Energy Components experience which are ideally available in contractors with Oil & Gas experience.

Skills and Experience_
  • Strong knowledge of the Facilities business domain and processes
  • Strong data-level analytical skills
  • Strong interpersonal skills working within a team
  • Proficient interpersonal skills working external to the immediate team (i.e. system of record SMEs or admins, functional SMEs, vendor SMEs)
  • Proficient SQL skills to build queries
  • Experience with cloud services such as ADLS gen 2, Databricks, Synapse, Azure SQL
  • Basic or awareness of knowledge of the Enterprise Data Model
  • ERP system experience (e.g. SAP S/4HANA, JDE)
  • Product allocation experience (e.g. Energy Components)
  • Awareness of industry standards such as ISO-14224, CFIHOS
Responsibilities:
  • Receive direction from Product owner and Data Architect for data analysis objectives and tasks (story level)
  • Act as a mentor to junior Data Analysts on the team
  • Collaborating with data architects, data analysts and data engineers to develop the desired solutions
  • Collaborate and receive rules and requirements from business, functional, or application SMEs to inform analysis tasks.
  • Analyze datasets, entities, application and system of record data sources, define relationships and attributes, and determine source to target mapping requirements
  • Clean and validate data to ensure accuracy and quality prior to maturing the feature to build
  • Define data engineering requirements for pipeline and data products build
  • Spike with other IT professionals to define interface requirements between applications or systems within the portfolio or externally with vendors apps
  • Collaboration with the Enterprise Data Architects and the Surface Platform Architects to develop and refine the Data Models as part of the Enterprise Data Model
  • Initial QC and validation of produced data products before delivering to stakeholders