Data Specialist
$55k - $62.5kDrillinginfo
Description Data Specialist Why YOU want this position
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
We are currently recruiting for a Data Specialist to join our organization; this is a remote position based in the United States. The Data Specialist plays a critical role in ensuring high-quality data ingestion, transformation, and configuration within the MineralSoft platform. This role requires strong analytical skills, attention to detail, and comfort working with AI-enabled tools, structured data formats, and mineral management systems. Performance Objectives
This role is eligible for: Variable Compensation
Salary Range: $55,000 - $62,500
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
We are currently recruiting for a Data Specialist to join our organization; this is a remote position based in the United States. The Data Specialist plays a critical role in ensuring high-quality data ingestion, transformation, and configuration within the MineralSoft platform. This role requires strong analytical skills, attention to detail, and comfort working with AI-enabled tools, structured data formats, and mineral management systems. Performance Objectives
- Data Extraction & Structuring: Extract data from client-provided PDFs using AI-driven tools and other technical solutions, converting unstructured and semi-structured content into clean, structured data files.
- Data Transformation: Transform client-provided or Enverus-generated structured data files into MineralSoft-compatible upload formats, ensuring accuracy, consistency, and completeness across all transformed datasets.
- Data Loading & System Configuration: Load, map, and configure datasets in MineralSoft, performing data validations and quality checks to ensure a successful ingestion process.
- Querying & Reporting: Create and run report queries to extract data from MineralSoft for internal and client use, presenting outputs in clear, well-structured formats.
- Troubleshooting & Integration Management: Diagnose and resolve data integration issues between MineralSoft and EnergyLink, collaborating with technical and product teams to address system-level data concerns.
- Proficiency with structured data formats (e.g., Excel, CSV, JSON).
- Experience using AI-based document extraction tools and data processing technologies.
- Familiarity with MineralSoft and EnergyLink platforms (preferred).
- Strong understanding of data mapping, transformation, and validation processes.
- Ability to assess data quality, identify discrepancies, and implement corrective actions.
- Strong troubleshooting skills related to data integrations and system behavior.
- High attention to detail and accuracy.
- Strong organizational and time-management abilities.
- Clear written and verbal communication skills.
- Ability to collaborate with cross-functional teams and manage multiple priorities
- Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a related field (preferred).
- Equivalent work experience will be considered in lieu of a degree.
- 1-3 years of experience in data management, data analysis, or a similar technical role.
- Experience working with mineral management systems, land data, or energy industry data (preferred).
- Prior experience with data extraction tools, ETL processes, or system integrations is a plus.
- Medical
- Dental
- Vision
- Income Protection (disability, life/AD&D, critical illness, accident)
- Employee Assistance Program (EAP)
- Healthcare Spending Account (HSA), Commuter
- Lifestyle & Wellbeing Program
- Pet Insurance
This role is eligible for: Variable Compensation
Salary Range: $55,000 - $62,500
Vacancy posted 4 days ago
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