Data Analyst

Skills

10 + Years of experience Basic or awareness of data modeling and approaches 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) Azure Databricks and Data lake Data Architecture Product allocation experience (e.g. Energy Components) 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.

Description

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.

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.