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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Workrise Technologies Inc. - **Location:** Midland, TX, United States - **Experience:** Expert - **Salary:** $128,128.0 - $147,347.0 - **Contract:** Permanent contract - **Skills:** Big Data, Program Optimization, Data Validation, Data Governance, Data Integrity, Data Mining, Data Systems, Database Queries, Python (Programming Language), Microsoft Office, Operational Data Store, Productivity Software, Power BI, SQL Databases, Web Applications, Data Management, Tools for Reporting, Spotfire, Databricks - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4c17e7a0a73ffbfb ## About the Role * Business & Operations Tools: ProCount, Execute * Productivity Tools: Microsoft Office Suite * Experience Preferred: * 5+ years of experience supporting engineering, drilling, completions, or production operations, preferably within the oil & gas industry * Proven experience in data governance, reporting, and analytics across multiple operational basins or business units * Strong expertise in building dashboards, writing SQL queries, and managing large datasets * Experience serving as a subject matter expert (SME) for data systems and reporting tools * Demonstrated ability to improve processes, enhance data quality, and optimize workflows ## Description The Well Servicing Engineering Technician / Data & Reporting Analyst supports well management engineering, operations, and leadership through advanced data management, reporting, and analytics. This role focuses on data governance, dashboard and reporting development, and ensuring data integrity across operational and production systems. The position works cross-functionally to improve self-service reporting, automate workflows, and enhance system performance and usability., * Assist with data governance initiatives to ensure accuracy, consistency, and reliability of production and operational data across systems. * Design, develop, and maintain dashboards, reports, and interactive applications to support engineering, operations, and executive leadership. * Build and optimize reporting tools (e.g., Spotfire, Databricks apps) to significantly improve performance, usability, and accessibility of data. * Develop automated workflows and web-based tools that integrate directly with source systems to enhance self-service reporting capabilities. * Create and maintain data validation and QA/QC processes to improve reporting accuracy and reduce manual correction efforts. * Generate exception reports to identify and resolve data integrity issues across multiple platforms. * Write and maintain SQL queries for data extraction, transformation, and analysis. * Troubleshoot and resolve data issues across enterprise systems to support day-to-day operations. * Support system upgrades and enhancements (e.g., WellView), including testing, defect identification, and workflow improvements. * Partner with cross-functional teams including engineering, IT, operations, and vendors to drive continuous improvement initiatives. * Prepare and deliver reports, dashboards, and presentations for management, executives, and company-wide meetings. * Provide training, documentation, and user support to improve adoption and effective use of reporting tools and systems. Skills and Qualifications * Reporting & Analytics * Dashboard Development & Visualization * Data Validation, QA/QC, and Integrity Management * Business Analysis & Process Improvement * Workflow & System Optimization * Training & Documentation * Technical Skills - Preferred: * Data & Querying: SQL, Databricks, Python * Visualization & Reporting: Power BI ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)