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Data Analyst IV - Houston TX (Day 1 onsite) - 10+Years mandatory at Houston, Texas, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=846057&uid=

From:

Srikanth,

Livemindz.com

[email protected]

Reply to: [email protected]

Hi,

Please send me resumes of the candidate with Data Analyst IV 10+Years mandatory -

Skills mandatory : (data modeling, cloud services such as
ADLS gen 2, Databricks, Synapse, Azure SQL ,ERP system experience (e.g. SAP S/4HANA, JDE))

Data Analyst IV

High level job 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.

Required skills
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
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

Thanks and Regards,

Srikanth

[email protected]

469-965-0489

Linkedin

Keywords: information technology
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02:40 AM 10-Nov-23


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