Job type: Long term Temporary W2 (05/26/2025 to 05/25/2028)
Location: Tulsa, OK (in office Monday - Thursday and with the option to work remotely on FRIDAY's)
Job Profile Name: Senior Data, Analytics, and Business Intelligence Engineer
Job Summary: Develop software, data models, and systems to automate technical business requirements. Analyze, justify, and implement software solutions.
Executive Summary: The Analytics Engineer role is essential for the company, particularly for the Asset Integrity & Corrosion Team, to manage complex data and systems. This position will backfill the work performed by the Rotational Engineer (EDP). The Analytics Engineer will focus on analytics, metrics, reporting, automation, and improving data collection and storage efficiency. By streamlining processes and integrating various software packages, the role will significantly improve efficiency, reduce manual effort, and support SMEs in creating more efficient business processes. Additionally, the Analytics Engineer will save the company money by reducing reliance on consultants and optimizing analysis of pipe production parameters to reduce inspection costs. This role will enhance data management, project management, and technical support, ensuring the company can handle modern data complexities, improve operational efficiency, and maintain its competitive edge.
Job Duties:
- Collaborate with SMEs in Welding, Metallurgy, Corrosion, Integrity Management, and Coatings, as well as IT support staff, to develop automation solutions using company' standard software tools, including Microsoft CoPilot.
- Responsibilities include programming, data analysis, model development, reporting, and project management.
- eSupport SMEs in creating efficient business processes and integrating various software packages such as Aconex, GIS, PCS, and Maximo.
- Adhere to IT standards for data security, risk management, and cybersecurity.
- Utilize company standard software tools.
- Maintain weld request forms and Internal Corrosion databases.
- Refine reporting for Annual Performance Reports (APRs) and sustainability reports.
- Create dashboards to track pipe manufacturing data for large projects.
- Provide project management, process improvement, and standardization for SMEs.
- Offer technical support, data management, and training for end-users.
- Collaborate with all organizational levels to understand business needs and recommend improvements.
- Resolve production issues and manage data flow from the field to databases.
- Participate in application development, upgrades, testing, implementation, and data integration.
- Coordinate User Acceptance Testing (UAT) for software installations, upgrades, and patches.
- Create and maintain Microsoft Power BI reports and analytics.
- Support data retrieval, compilation, and management from vendors and operations.
- Develop Standard Operating Procedures (SOPs), FAQs, and best practice documentation.
- Integrate multiple datasets and optimize process flows.
Qualifications
- Required: Bachelor's degree in computer science, programming, IT, engineering, business, or related field and a minimum of 7 years' experience, including 3 years supporting a major technology application.
- Preferred: Master's degree with 10 years' experience, including 5+ years in data science or business intelligence development.
- Excellent organizational and people skills; prioritizes safety.
- Willingness to learn and understand business needs and SME requirements.
- Extensive knowledge of Microsoft Office and PC skills.
- Experience in technology project justification and management.
- Proficiency in databases (SQL, Oracle) and data warehousing (SQL, Synapse).
- Understanding of ETL, job management, BI development, OLAP/CUBE design, and multi-dimensional database structures.
- Proficiency in SharePoint, Power Automate, HTML, and .NET.
- Preferred: Proficiency in Azure analytics platform (Synapse, Databricks, Data Factory), Microsoft certifications (Azure Fundamentals, Data Fundamentals, AI Fundamentals), and experience with PCS, GIS, VBA, Pipeline Studio, Maximo, G-Forms, Aconex, AI tool building, and machine learning.
- Additional Preferred Skills: Experience with cloud data platforms (e.g., Azure, GCP), BI tools (e.g., Power BI, Looker Studio), data transformation tools (e.g., dbt), data warehousing technologies (e.g., BigQuery, Redshift), and programming languages for data manipulation (e.g., Python)