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# Unconventional Analytics Engineer

- **Company:** Indotronix Avani Group
- **Location:** The Woodlands, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Sql Optimization, Data Management, Spotfire, Databricks
- **Published:** October 14, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/Te7IkwmEPgPUGwEeR0hrCtMuoppTayNPRFFjhtc0_w8

## About the Role

Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related field.

 - Minimum 5 years' experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
 - Advanced SQL and Python programming expertise.
 - Proven experience with Databricks and large-scale ELT/ETL pipeline development.
 - Strong background in data modeling, data architecture, and data product design.
 - Experience developing analytics solutions with Spotfire.
 - Excellent problem-solving, analytical thinking, and communication skills.
 - Ability to translate business needs into scalable technical solutions and influence both technical and business stakeholders.

Preferred Skills

 - Experience in Oil & Gas industry, especially with unconventional resources.
 - Proficiency in ComboCurve forecasting and economic evaluation workflows.
 - Knowledge of Reservoir Engineering, Asset Planning, Economics, and Capital Allocation.
 - Familiarity with data governance and master data management.
 - Experience creating enterprise-level analytical data products.

## Description

Join a high-impact team as a Senior Unconventional Analytics Engineer, where you'll power the digital transformation of forecasting, economics, and operations in the energy sector. Located onsite in Spring, TX, this role enables you to directly influence data-driven decision-making, working at the forefront of advanced analytics, data engineering, and collaborative cross-functional initiatives., Design, build, and maintain analytics-ready data products supporting forecasting, economics, planning, drilling, completions, and production operations.

 - Develop trusted datasets and robust business logic as authoritative sources for key analytics workflows.
 - Collaborate with reservoir engineers, production engineers, planners, economists, and data professionals to align data solutions with business needs.
 - Architect and optimize scalable data pipelines and transformation processes using Databricks, SQL, and Python.
 - Integrate operational, corporate, and third-party data sources into cohesive analytical environments.
 - Enhance and support data flows for ComboCurve forecasting and economic evaluation.
 - Curate and maintain datasets optimized for Spotfire dashboards and self-service analytics.
 - Establish rigorous data quality standards, validation rules, and ongoing monitoring processes.
 - Champion data governance, accountability, and continuous improvement across teams.