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Data Modeling Agile Methodology Analyst
(Jobs in Chicago, IL)
 
Requirement id 114409
Job title Analyst
Job location in Chicago, IL
Skills required Data Analyst, Oil And Gas Industry Experience, Azure DevOps, Data Modeling Agile Methodology
Open Date 25-Feb-2021
Close Date
Job type Contract
Duration 6 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Analyst: Data Analyst, Oil And Gas Industry Experience, Azure DevOps, Data Modeling Agile Methodology

Candidate must be our W2 Employee.

Job Description:

Senior Optimization Data Analyst

Role Synopsis:

You are responsible for gathering, defining and managing business requirements from stakeholders, using structured business analysis tools, techniques and methodologies. You will be responsible for ensuring the refinery is optimized inside of all constraints, on a system level. You will use process engineering, process modelling and commercial acumen to develop and help execute optimization strategies. They are responsible for maintaining the accuracy of the LP model for their area, as well as understanding relevant economic constraints. You should use interactions and relationships with other groups (Operations, Technical, Supply, etc).

Key Accountabilities/Technical capability:

Key Accountabilities:

Develop unit targets to drive refinery optimization for campaign plans, production plans, and the CBM/Annual Plan processes for specified refinery systems.
Support the execution of the plan through the development of tools and guidance documentation for Operations personnel.
Set targets, measure and assure accuracy of LP sub-models.
Review and challenge commercial plan to ensure that the refinery is planned to its fullest capability.
Monitor, interpret, and report optimization performance versus plan via a Plan vs Actual process.
Validate and document commercial constraints in a systematic database.
Provide support to the Technical Group to design and execute plant tests to test or move constraints.
Develop a catalyst strategy and complementary feed strategy to maximize value within the constraints of the refinery catalyst change-out plans.
Identify and execute a strategy to maximize the value of tradeoffs within their system of responsibility.
Determine the value of maintenance and TAR scope to maximize system value. Work with Operations, Maintenance and TAR staff to execute the identified scope.
Interpret the refinery LP to drive operations to optimal performance within constraints.
Use and maintain rigorous process models that accurately reflect refinery capability.

Essential:

Systems (Schemas and Backend) and Data Analyst
Understand Oil & Gas Production manufacturing business processes
Interface with Technology teams
ADO (Azure DevOps) reporting
Extensive data analytics
Predictive analytics
Advanced/expert in Agile Methodology
Advanced data and analytics experience
Worked within DevOps teams
Business Analysis
Data Modeling Analysts

Desirable Criteria:

5+ years experience combined in refinery technical support, process engineering, refinery operations, and/or production planning experience
Familiarity with LP model or scheduling tool preferred; demonstrated commercial acumen
Strong understanding of unit operation and the interaction between units
Be able to identify, document and value true refinery constraints that limit refinery profitability; mentor others in the understanding of process economics
Strong willingness to learn and develop commercial acumen in role, including: ability to read, evaluate, and communicate LP outputs; design and maintain rigorous process models

Business capability:
Data Management and Data Science

Digital innovation

Business capability:

You bring specialist knowledge of a particular solution, product, technology and/or business domain.
Youre a strategic thinker who can influence the long-term strategy of products and teams.
Data Management and Data Science.
Digital innovation.

Leadership and EQ:

You always empower people - encouraging pos
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 114409 while calling.
 
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