New Jersey Resources is a Fortune 1000 diversified energy company committed to a sustainable energy future. They are seeking a Technical Data Analyst to support Operations Support by developing data pipelines, integrating system data, and delivering analytics and reporting.
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
Qualification
Required
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
Preferred
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
Benefit
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
They count on us to maintain their quality of life, today, tomorrow and for generations to come.
