Python Data Engineer

Job ID: 110110
Location: Houston, TX  [On-Site]
Salary: $40.00 - $60.00
Category: PMO/BA
Employment Type: Contract

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Job Description:
Our client is hiring a highly skilled and analytical Business Analyst / Data Analyst with a strong focus on the midstream natural gas sector. This role involves a blend of technical and business analysis responsibilities. The Business Analyst will work directly with end-users to gather requirements, analyze large datasets, and derive actionable insights. This position requires strong SQL skills for data extraction and interpretation. The ideal candidate will exhibit a strong capacity for working independently, solving problems, and navigating ambiguous data sets to support business decisions.

Responsibilities:
  • Gather detailed business requirements from end-users to understand and address their data analysis needs.
  • Analyze large datasets within the midstream natural gas domain to extract meaningful insights.
  • Utilize advanced SQL techniques for data querying, extraction, and analysis.
  • Translate complex analytical findings into clear, understandable business insights.
  • Work closely with both technical teams and non-technical stakeholders to communicate data-driven insights.
  • Independently solve problems and propose solutions based on data analysis.
  • Maintain integrity and accuracy in all analytics and reporting.
  • Ensure all data practices align with company standards and compliance regulations.

Qualifications:
  • Minimum of 5 years’ experience in business analysis or data analysis.
  • Strong proficiency in SQL and experience with large-scale databases.
  • Proven experience in the energy sector, particularly in midstream natural gas, is preferred.
  • Excellent analytical and problem-solving skills, with the ability to work independently.
  • Exceptional communication skills, capable of bridging technical and non-technical stakeholders.
  • No specific certifications required, but relevant qualifications will be advantageous.
  • Must demonstrate a high level of integrity and ownership of responsibilities.
  • Ability to handle ambiguous situations and data sets effectively.
  • Business acumen to connect data analysis outcomes with business strategies and value.