About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Oil and Gas.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

This role is a hands-on Data Analyst / Jr Data Engineer position working with cloud-native analytics and enterprise systems to deliver scalable reporting, modeling, and advanced-analytics solutions for a Confidential Client in the Oil and Gas sector.

• Design, build, and maintain data pipelines and analytics solutions in Google Cloud Platform (GCP) using services such as BigQuery, Data Fusion, DataStream, and Cloud Storage
• Create and optimize scalable data models (dimensional, relational, semantic) to support reporting and self-service analytics
• Integrate data from enterprise systems (including ERP such as SAP BW/4HANA) into cloud analytics environments
• Develop, tune, and maintain complex SQL queries for extraction, transformation, validation, and analysis of large datasets
• Build and maintain dashboards, reports, and ad-hoc analyses using Looker and/or Power BI
• Implement and maintain LookML-based reporting where applicable
• Automate recurring reporting processes and workflows with Python to improve operational efficiency
• Support AI and advanced analytics initiatives — statistical analysis, forecasting, anomaly detection, and predictive modeling
• Apply data quality, governance, and consistency best practices across analytics outputs
• Communicate findings and recommendations clearly to technical and non-technical stakeholders
• Continuously evaluate emerging tools and patterns to improve data architecture, orchestration, and reporting

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Qualifications

• Must be legally authorized to work in the United States on a permanent basis without current or future sponsorship requirements
• 3+ years of relevant experience in data analytics, business intelligence, or data engineering (enterprise/energy or related industries preferred)
• Hands-on experience with Google Cloud Platform — particularly BigQuery (data modeling, query optimization, performance tuning)
• Advanced SQL skills for working with large datasets
• Experience building dashboards and visualizations in Looker (LookML) and/or Power BI
• Proficiency in Python for data analysis and process automation
• Strong data modeling knowledge (star/snowflake schemas, semantic layers, ER design)
• Experience integrating data from ERP systems (SAP BW/4HANA or comparable systems) preferred
• Ability to translate complex data into actionable business insights and present to stakeholders

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Nice-to-Haves

• Experience with data orchestration tools like Apache Airflow
• Exposure to predictive analytics, machine learning, or AI-driven solutions
• GCP certifications (e.g., Professional Data Engineer) or other relevant cloud/data credentials
• Familiarity with operational, retail, financial, or energy-related datasets

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Role Details

• Employment type: Contract (6–12 month Contract-to-Hire)
• Location: Houston, TX — work will be performed in the Houston area (on-site or hybrid as required by the Confidential Client)
• No sponsorship available — candidates must be authorized to work in the U.S. without sponsorship
• This position follows applicable U.S. federal and state hiring laws, including non-discrimination and pay transparency practices where required

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Why Join

Work with modern cloud analytics and reporting technologies on high-impact energy datasets. This role provides exposure to enterprise systems, advanced analytics/AI initiatives, and opportunities to influence reporting strategy and data architecture at a growing Confidential Client in the Oil and Gas industry.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.