Data Analyst

hace 7 días


Buenos Aires, Buenos Aires C.F., Argentina Chevron A tiempo completo

Total Number of Openings

1Gather, analyze and problem solving as relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain subject matter expertise.

Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain subject matter expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams. A Data analyst will serve as a subject matter expert for delivery teams. A Data analyst will serve as a subject matter expert for delivery teams.

Responsibilities for this position may include but are not limited to:
 

  • Understanding the business use of data and stakeholder requirements to support work processes and strategic business objectives.

  • Working with business (digital platform, Business Units, function teams) and delivery teams to provide data management direction and support for data foundation initiatives and data products development.

  • Analyzing current state of data management: process, practices, tools, and helping shape future needs.  Contributing to the design of common information models.

  • Assessing data quality concerns specific to workflow solutions being adopted and driving mitigation activities.

  • Advising on the appropriate data integration patterns, data modelling and data quality.

  • Maintaining and sharing knowledge of requirements, key data types and data definitions, data stores, data creation process.
     

Required Qualifications
 

  • Big data computing, data acquisition, wrangling and preparation, business process and data modeling, data strategy, policies, and governance

  • Understanding of software engineering principles using technologies such as: Azure Data Factory, Data Lake, Databricks, DevOps, Azure Synapse

  • SQL - Ability to understand or write complex queries

  • Power BI

Chevron participates in E-Verify in certain locations as required by law.


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