Technical Data Analyst
New Jersey Resources is a Fortune 1000 diversified energy company seeking a Technical Data Analyst. The role involves developing reliable data pipelines, integrating third-party and enterprise system data, and delivering high-quality analytics and reporting to support Operations Support. Responsibilities Develop, optimize, and maintain complex SQL queries to support operational, financial, and performance reporting Build and maintain advanced Power BI dashboards, datasets, data models, and DAX measures for operational insights Support and enhance data pipelines integrating third‑party APIs and external systems into the data warehouse, including authentication, extraction logic, and data structuring Conduct data validation, reconciliation, and audits across enterprise systems such as Maximo, JDE, IFS/MWM, SAP, and Dayforce Analyze large datasets to identify trends, data discrepancies, performance issues, and opportunities for operational improvement Troubleshoot data integrity issues and ensure accuracy of operational metrics and KPIs Monitor data pipelines and integration logs to ensure reliable data flow across enterprise platforms Document data definitions, table relationships, workflows, and reporting logic to support transparency and maintainability Support forecasting, planning, and scenario modeling through advanced analytics and data modeling Provide technical guidance to enhance operational workflows, system utilization, and data‑driven decision‑making Skills Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Analytics, or a related field Strong proficiency in SQL (DB2, SQL Server, or similar), including writing, debugging, and optimizing complex queries Demonstrated experience developing Power BI dashboards, including data modeling, Power Query, and DAX Working knowledge of REST APIs, JSON structures, and integrating external data sources into a data warehouse Strong analytical, problem‑solving, and technical troubleshooting skills Solid understanding of relational databases, data modeling concepts, and enterprise data flows Ability to manage multiple tasks independently in a fast‑paced environment Proven ability to collaborate effectively with cross‑functional partners across Field Operations, Engineering, and IT Ability to document data definitions, logic rules, metrics, process flows, and reporting standards Experience working in data analytics, technical reporting, or business intelligence roles Hands-on experience with IBM Maximo and familiarity with its data structures and workflows Experience building and maintaining data pipelines, API integrations, and BI solutions Experience using Python for automation, data processing, or analytics Familiarity with Azure data services Background or coursework in Data Science, Business Intelligence, or Data Analytics Benefits Medical insurance coverage from day 1 401k vesting immediate Employee insurance and medical plans, including prescription, vision and dental benefits 401(k) program with generous company match Company stock purchase plan Wellness programs, including free on and off-site fitness centers Employee Assistance Program (EAP) Tuition reimbursement program Paid time off including paid holidays Company Overview They count on us to maintain their quality of life, today, tomorrow and for generations to come. It was founded in 1952, and is headquartered in Monroe Township, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is