Required Skills

Data Analyst

Work Authorization

  • US Citizen

  • Green Card

Preferred Employment

  • Corp-Corp

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 8th Nov 2023

JOB DETAIL


Seeking data analysts. Responsibilities are to collect, clean, and interpret datasets from various sources to support building of the Surface Data Hub, an ecosystem of defined interrelated data products to service the Surface domain.
Required skills

  1. Basic or awareness of data modeling and approaches
  2. Experience with cloud services such as ADLS gen 2, Databricks, Synapse, Azure SQL
  3. Basic or awareness of knowledge of the Enterprise Data Model
  4. ERP system experience (e.g. SAP S/4HANA, JDE)
  5. Azure, Databricks and Data lake
  6. Data Architecture
  7. Product allocation experience (e.g. Energy Components)
  8. Strong knowledge of the Facilities business domain and processes
  9. Strong data-level analytical skills
  10. Strong interpersonal skills working within a team
  11. Proficient interpersonal skills working external to the immediate team (i.e. system of record SMEs or admins, functional SMEs, vendor SMEs)
  12. Proficient SQL skills to build queries
  13. Years of experience 10 +

Key job 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 Chevron portfolio or externally with vendors apps
Occasional collaboration with the Enterprise Data Architects and the Surface Platform Architects to develop and refine the Data Models as part of the Chevron Enterprise Data Model
Initial QC and validation of produced data products before delivering to stakeholders

 

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Education details both bachelor’s & Masters (university, Stream, Year of passing)

Company Information