Predictive Insights Business Analyst

TC Energy•Charleston, WV

17h•Hybrid

About The Position

The Predictive Insights team is expanding its technical capabilities to support business growth and improve asset performance. Using tools such as AVEVA PI, AWS, reporting and analytics platforms, and appropriate machine learning applications, the team helps predict, identify, and prevent asset failures. This role sits within Asset Applications, a small, technical, high-performing team that partners with Real-Time Monitoring and Applications and other asset performance groups. It offers growth, exposure, and mentorship for someone who enjoys working at the intersection of operations, data, and technology. As a Business Analyst on the Predictive Insights team, this role connects operational needs with technology delivery by translating business requirements, data needs, and process challenges into practical application, reporting, and analytics solutions. Serving as a senior liaison between business stakeholders and Asset Applications, the role supports analysis, design, implementation, and continuous improvement of solutions aligned to business objectives. The role leads complex initiatives, documents requirements, evaluates process improvements, supports delivery from concept through implementation, and partners with business leaders, product owners, developers, vendors, and project teams to deliver quality solutions. It also supports data flows, semantic data models, dashboards, reports, ad hoc data requests, testing, data governance, change management, and adoption. The ideal candidate is collaborative, detail-oriented, comfortable with technical and operational stakeholders, and able to translate complex needs into actionable requirements that support safe, reliable, and efficient asset performance.

Requirements

Core Business Analysis Requirements gathering, analysis, and management
Business process modeling, including workflow diagrams and swimlane mapping
User stories, use cases, agile delivery, business cases, process improvement, root cause analysis, and problem-solving methodologies
Advanced SQL querying, data analysis, real-time data acquisition, and reporting analysis
Data mapping, lineage, quality assessment, governance, and master data management principles
Power BI, Microsoft Fabric, advanced Excel, Power Query, Pivot Tables, and related reporting and analytics platforms
SAP Enterprise Asset Management and enterprise business application support
Application integrations, APIs, web services, cloud-based platforms, and system implementations
SDLC practices, testing methodologies, and defect management tools
Azure DevOps, ServiceNow, or similar work management platforms
Microsoft 365, including Teams, SharePoint, Power Platform, and Visio
Requirements, documentation, process visualization, and documentation tools such as Confluence and SharePoint
Associate’s degree in Business, Information Systems, Computer Science, Engineering Technology, or a related discipline.
5+ years of experience in business analysis, systems analysis, product ownership, or a related field.
Experience supporting asset management, maintenance, operations, engineering, or utility business functions.
Experience with system integrations, data analytics, and enterprise application delivery.

Nice To Haves

Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, or a related discipline preferred.
Experience working within regulated utility, energy, pipeline, or industrial environments preferred.
Experience with SAP Enterprise Asset Management, AVEVA PI, AWS, Microsoft Fabric, Power BI, or similar platforms.

Responsibilities

Lead business analysis for complex application enhancement, modernization, and implementation initiatives.
Elicit, document, validate, and manage business, functional, technical, data, and reporting requirements.
Analyze processes and identify optimization, automation, and digital improvement opportunities.
Develop process maps, workflow diagrams, business rules, use cases, specifications, and user stories.
Facilitate workshops, requirements sessions, design reviews, and stakeholder meetings.
Partner with technical teams on scalable application, integration, reporting, data mapping, interface, and API-based solutions.
Coordinate test planning, test case development, integration testing, and user acceptance testing.
Analyze application data and reporting needs to support operational and strategic decisions.
Support change management, training, documentation, and user adoption.