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Data Engineering Specialist

Insight Global

Data Engineering SpecialistRequired Skills & Experience: Bachelor's degree in Business Administration, Data Science, Computer Science, Information Systems, Mathematics, Statistics, or a related discipline. Minimum of 5+ years of experience in data analytics, business intelligence, digital solutions, reporting, or a related field. Oil and gas industry experience. Power BI Development. Data Analytics and Business Intelligence. Data Integration and ETL Processes. Data Cleansing and Data Quality Management. KPI Development and Performance Reporting. SQL. Statistical Analysis and Data Modeling. Dashboard and Visualization Design. Business Requirements Gathering. Microsoft Power Automate. Process Improvement and Automation. Data Governance and Reporting Best PracticesNice to Have Skills & Experience: Oil and gas industry experience, particularly supporting field operations organizations. Experience working with SAP data structures, workflows, and reporting environments. Experience leveraging AI-enabled tools and solutions to improve business outcomes and productivity. Python or R programming experience. Experience supporting digital transformation and operational excellence initiatives. Certifications in Power BI, SAP Analytics Cloud, Spotfire, or related analytics platforms.Job Description: An O&G operator in The Woodlands, TX is looking for a Data Engineering Specialist to join their Operational Excellence team. This role will be an ongoing contract role extended on an annual basis. This role will work a hybrid (Tues-Thurs in office, Mon & Fri remote) 9/80 schedule (every other Friday off).The successful candidate will utilize expertise in data mining, data integration, data analysis, and data visualization tools, including Power BI, while leveraging a strong understanding of business drivers and operational processes to transform complex datasets into meaningful business insights.This role will analyze and integrate data from systems such as SAP, SQL, and LMS to develop impactful dashboards, reporting solutions, and data-driven recommendations that support operational excellence initiatives. The candidate will also leverage artificial intelligence and workflow automation technologies to improve the speed, quality, consistency, and scalability of analytics solutions.In addition, the specialist will serve as a key liaison between the Operational Excellence organization and IT teams to support data, reporting, automation, and technology initiatives.Responsibilities:• Partner with functional teams and business stakeholders to understand operational processes, define KPIs, identify reporting requirements, and align analytics solutions with business objectives.• Design, develop, and maintain intuitive Power BI dashboards and visualizations that provide actionable insights and support data-driven decision making.• Extract, integrate, cleanse, transform, validate, and analyze data from multiple enterprise systems.• Monitor and resolve data quality issues, anomalies, and inconsistencies to ensure reporting accuracy and reliability.• Identify trends, patterns, opportunities, and operational performance indicators through advanced analysis.• Collaborate with data engineering and information technology teams to improve data integrations, ETL processes, and reporting capabilities.• Translate complex technical findings into clear business recommendations for both technical and non-technical audiences.• Utilize artificial intelligence tools and technologies to improve operational analytics, reporting efficiency, and solution delivery.• Design, implement, and support workflow automation solutions using Microsoft Power Automate and related technologies.• Act as a liaison between Operations Excellence and IT teams regarding business requirements, technical solutions, implementation activities, and governance processes.• Support multiple concurrent projects, enhancements, business requests, and operational initiatives while meeting deadlines and stakeholder expectations. Insight Global

Vacancy posted 1 day ago
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