Environmental Markets Analyst IV

Job Description

Job Description

CLIENT HIGHLIGHT
The Client you will be working for is a Fortune 100 Oil and Gas Company. This opportunity will give you experience in the energy sector in the United States with a company that is a globally recognized leader in energy production and one of the biggest companies in the US.

LOCATION
Houston, TX 77002

COMPENSATION
$132/hr

SCHEDULE
Full-time, 9/80 schedule

CONTRACT TERM
2.5 month contract with high likelihood of extension or conversion to full time employee

POSITION OVERVIEW – Environmental Markets Analyst IV - This role is a critical enabler for RNG’s P&L by performing data analysis and optimization to generate carbon credits for a group of our RNG production facilities.

RESPONSIBILITIES
•    Utilize PowerBI and other tools for data monitoring and visualization.
•    Develop monthly and quarterly reports per regulatory guidelines for credit generation. C
•    apture operational trends to identify areas for optimization, profit improvement, and streamline credit generation work processes.
•    Develop strong relationships with key auditors and regulatory stakeholders while hosting site visits.
•    Work closely with operations and short and mid-range planning for input into plan development.

REQUIRED QUALIFICATIONS/SKILLS:
•    Technical curiosity and self-motivation
•    Demonstrated ability to lead projects and participate in cross-functional teams
•    Detail oriented with demonstrated ability to meet monthly deadlines for routine tasks
•    Experience using data analysis to drive profitability
•    Advanced Excel
•    Data reconciliation
•    Trend analysis
•    Root cause analysis
•    Ability to work with large datasets
•    Ability to identify bad or incomplete data

PREFERRED QUALIFICATIONS:
•    Experience using PI, PIVision, PowerBI, PowerApps, and other data visualization software
•    Experience in process monitoring and optimization
•    Experience working closely with operations and facilities engineering to identify data quality constraints and opportunities for improvement