Data analyst

placeMakati calendar_month 

Job Description

Posted on 17 July 2025

Join our Team

Chevron’s strategy is straight-forward: be a leader in efficient and lower carbon production of traditional energy, in high demand today and for decades to come, while growing lower carbon businesses that will be a bigger part of the future.

To achieve these goals, we’ll build on the assets, experience, capabilities, and relationships we’ve developed over 140 years to incubate and grow new business.

Technology will play a crucial role in unlocking ever cleaner and more affordable sources of energy. Chevron is seeking innovative, technology professionals with a desire to thrive in the global digital environment and help us lead the global energy transition.

An IT career at Chevron offers you the opportunity to work in a technical environment with a global reach. You’ll find that we make a business of investing in our people and encouraging your professional development through a learning culture and challenging on-the-job opportunities.

We differentiate ourselves through the application of cutting-edge technology, and by taking a collaborative approach that includes in-house expertise, proprietary solutions, and strategic partnerships. We also offer flexible work schedules and very competitive benefits.

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

  • Develop jobs for ingestion of SAP and/or JDE data into the lake
  • Develop jobs for ingestion of lake data into SAP and/or JDE
  • Contribute in operationalizing SAP and/or JDE data ingestion into the lake
  • Develop ECC CDS views or BW4HANA openhubs that will be the datasource of the data ingestion of SAP and/or JDE
  • Explore Azure Synapse tool on how this can be used and develop solutions on data validation of SAP and/or JDE in the lake
  • Explore if Data Quality tool can be used for data being ingested by the team in the lake
  • Understand business use of data and stakeholder requirements to support work processes and strategic business objectives
  • Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing.
  • Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns
  • Responsible for normalizing and ingesting data from multiple sources including BPC, BW, Service Now, and Azure.
  • Enable data scientists, making data available for advanced analytics models, and contributing to models.
  • Work with ML Engineer to scale and deploy solution including model, documentation, training, integration
  • Contributing to the inner source development of foundational tools, and/or the deployment of technical services.
Qualifications/Requirements
  • BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience
  • At least 3 years of ETL experience with SAP data services and has performed development work on SAP data services
  • SAP and/or JDE Functional experience or domain knowledge
  • Knowledge and/or experience with:data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: SAP Data Services, SAP Master Data Governance (MDG), SAP Landscape Transformation Replication Server (SLT), Azure Data Factory (ETL), Data Lake, DevOps, CI/CD Pipeline Deployment, Python, T- SQL, Azure SQL, Azure Synapse, SSIS, GIT, ADO
  • Analytical thinking, consulting, critical thinking

Work location

CITY OF MAKATI, NCR, FOURTH DISTRICT

Remarks

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