Risk Modeling & Data Analytics [Analyst] - C# & Python

DND STAFFING LLC
New York, NY, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Compensation
$90,000.0 - $115,000.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Access Microsoft Excel Data Analysis Big Data C Sharp (Programming Language) R (Programming Language) Python (Programming Language) Reliability Engineering Software Engineering SQL Databases Reliability of Systems Information Technology
+2 more
Data Analytics Data Management

Job description

  • Maintain and enhance an in-house risk analysis and probabilistic reliability model
  • Develop and support applications using C# and Python
  • Perform data analytics, risk modeling, and economic evaluations
  • Analyze large datasets and develop recommendations for infrastructure investment decisions
  • Support transmission and substation asset management initiatives
  • Collaborate with engineering, operations, and project management teams
  • Assist with long-term capital planning, forecasting, and investment strategy development
  • Prepare technical reports, presentations, and business cases

Requirements

Do you have experience in Software engineering?, Do you have a Bachelor’s degree?, We are seeking an Associate Engineer with strong C#, Python, analytics, and engineering problem-solving skills to support the development and maintenance of an in-house risk analysis and probabilistic reliability model used for utility asset management and capital planning.

Candidates with experience in the electric utility industry, particularly transmission, substation, power systems, or asset management environments, are highly preferred. This role combines software development, data analytics, engineering analysis, and investment strategy to support critical infrastructure decisions., * Bachelor’s Degree in Electrical Engineering, Computer Science, Engineering, Mathematics, or related field

  • 1-3+ years of relevant experience in:
  • C# Programming
  • Python Development
  • Data Analytics
  • Risk Modeling
  • Software Development
  • Engineering Analysis
  • Experience with SQL, MS Access, Excel, and data management tools
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities

Preferred

  • Electrical utility, power systems, transmission, or substation experience
  • Experience with probabilistic modeling and reliability analysis
  • Knowledge of asset management, economic analysis, or capital planning
  • Experience with R, SQL, Power Systems, Transmission, or Substation Infrastructure

Preferred Industry Experience

  • Experience in the electric utility, transmission, substation, power generation, or energy industry strongly preferred
  • Familiarity with transmission and substation assets, electric grid infrastructure, asset management, reliability engineering, or capital planning
  • Understanding of utility operations, risk assessment, reliability analysis, or infrastructure investment decision-making
  • Experience supporting electric utility engineering, planning, operations, or asset management organizations is a plus

Keywords

C# Python SQL Data Analytics Risk Modeling Software Development Electrical Engineering Computer Science Utility Industry Transmission Substation Power Systems Asset Management Reliability Engineering Capital Planning Infrastructure Analytics Grid Modernization Investment Strategy Utility Operations Business Analytics, * Bachelor’s (Required), * C#: 2 years (Required)
  • Python: 2 years (Required)
  • Asset management: 2 years (Preferred)

Work Location: Hybrid remote in New York, NY 10003

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Professional development assistance
  • Tuition reimbursement
  • Paid parental leave
  • Parental leave
  • 401(k)
  • Health insurance, * 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Employee discount
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid parental leave
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance
  • Wellness program
  • Work from home

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