Sr. Business System Analyst
- Job Id #ATI-250111
- Job Industry IT
- Job Type Contract
- Job Location California
- Job Duration Long Term
- Job Posting Date 12/13/2024
- Salary DOE
Job Description
Seeking a Senior Sr. Business System Analyst Position for my Client
Job Title: Sr. Business System Analyst
Location: Los Angeles Local candidate within 50 Miles
Any Visa
Open to relocate
Pls share LinkedIn
Candidate must have experience in Linear Referencing (LRS) & ArcGIS Pipeline Referencing (APR) tools. All previous candidates got rejected because they didn’t mention LRS, APR in their resume.
Pls mention expertise level on following skills on scale of 1 to 10 (10 being the highest-level proficiency)
- Knowledge of Linear Referencing (LRS) concepts and related ArcGIS Pipeline Referencing (APR) tools. Knowledge of basic LRS schema.
- APR Experience using Esri (LRS) Linear Referencing System editing include Create Route, Calibrate Routes, Calibration Points, Route Events, Event editing etc.
- Gas Utility industry (preferred)
Have the following qualifications:
- A bachelor’s degree in computer science, Information Systems, or a related discipline (e.g., Geographical Information System)
- 5 years of senior-level experience in business application design, development, installation, and modification in an online environment
- Experience with structured design, development, and implementation of new computing architectures
- Proficient with SAP S4 integration with GIS and knowledge of SAP Spatial Asset Management
- Utilities industry experience is highly preferred
- Experience with developing/implementing solutions on ESRI ArcGIS platforms including FieldMaps
- Experience with ArcGIS Portal/Enterprise using HTML5, CSS3, JavaScript frameworks (e.g., React, Angular), and REST APIs
- Experience with Mobile GIS field applications (Windows and iOS devices) using ArcGIS Runtime SDK
- Experience with ArcGIS desktop applications – ArcGIS Pro
- Experience in .NET framework, C#, Python using ESRI libraries and SQL
- Experience with spatial databases
- Experience with real-time GIS applications and spatial data visualization
- Knowledge of machine learning or AI as applied to geospatial datasets
- Experience in a production/service environment
- Working knowledge of DevOps tools and practices
- Strong analytical, problem-solving, and conceptual skills