Senior Data Analyst

The Cadmus Group, Inc.

• $80K — $95K *
US-AnywhereRemote in United States
Energy & Utilities
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MA/MS in Economics, Statistics, Mathematics, Data Science, or related fields with 3-5 years of relevant experience, or BA/BS with 5-7 years experience
  • Proficiency in statistical software including R, Python, or Stata
  • Experience with R-Shiny or similar platforms for interactive web apps and data visualizations
  • Knowledge of databases and SQL
  • Expertise in inferential statistics, including sampling and regression analysis
  • Strong written and verbal communication skills
  • Familiarity with the energy sector or utility industry

Responsibilities

  • Lead research design and data analysis for consulting projects
  • Apply statistical methods to evaluate program impacts and draw recommendations
  • Effectively communicate analytical results through reports and presentations
  • Manage project tasks, ensuring quality deliverables on time
  • Mentor junior team members and provide technical support
  • Build and maintain relationships with clients through proactive communication
  • Identify new business opportunities and assist with proposal development

Benefits

  • Medical, dental, and vision coverage
  • Company paid disability and life insurance
  • 401(k) program
  • Generous paid time off (PTO) and paid holidays
  • Voluntary time off (VTO)
  • Tuition reimbursement and adoption assistance
  • Various bonus programs
Full Job Description
Overview

What You’ll Be Doing

 

Cadmus is looking for an analytical individual with strong critical thinking, research, technical, and communication skills who works well both independently and collaboratively. The ideal candidate is a proactive problem solver, comfortable working closely with clients and internal teams to find the right solution. They will have project-oriented work experience, preferably in the energy industry, and a demonstrated ability to manage analytical tasks and projects from start to finish.

 

The successful candidate will apply advanced analytics to generate data-driven insights, quantify the impacts of intervention strategies, evaluate system and market dynamics, and provide strategic guidance to utility and government clients. They will support research, evaluation, and planning efforts across a broad range of demand-side management (DSM) topics, including demand response, virtual power plants, distributed energy resources, renewable energy integration, data center electricity demand, decarbonization, energy efficiency, flexible load management, sustainability, retail rate design, and related policy and equity considerations.

 

Responsibilities
  •  Lead research design, data collection, data analysis, modeling tool development, and reporting tasks in support of client consulting engagements
  • Apply statistical and econometric data analysis methods, synthesize and interpret results to assess program and policy impacts, and identify meaningful conclusions and recommendations
  • Clearly and professionally communicate methods, findings, data sources, and analytical results in technical reports, presentations, dashboards, and data visualizations for a variety of technical and non-technical audiences
  • Support the management of consulting tasks or projects, which may include:o Working collaboratively with project team members and clients to accomplish project goalso Providing clear and consistent communicationo Supporting or leading project budget management, invoicing, project planning, staff and resource managemento Ensuring all deliverables meet Cadmus quality standards, are error-free, on time, and exceed client expectations
  • Provide mentorship and technical support to junior staff
  • Nurture and build client relationships by providing proactive, clear, and consistent communication on project activities, status, findings, challenges, or concerns
  • Identify and develop business development opportunities to expand work with existing clients and advance new work by supporting proposal development
Qualifications
  • MA/MS in Economics, Statistics, Mathematics, Data Science, or other related quantitative fields with 3-5 years relevant professional experience, OR BA/BS in relevant field with 5-7 years of relevant professional experience
  • Experience with data transformation and statistical software programming in R, Python, or Stata
  • Demonstrated experience deploying interactive web apps and data visualizations with the use of R-Shiny (or other platforms, such as Flask, DASH, Power BI, or Streamlit)
  • Experience with databases and SQL
  • Demonstrated experience with inferential statistics, specifically sampling and research design, statistical analysis, and regression analysis
  • Excellent written and verbal communications skills
  • Desire to grow professionally and take on challenging work assignments
  • Proficiency in MS Office applications, including Word and Excel
  • Familiarity with or work experience in the energy sector and/or utility industry
  • Applied research design experience in professional setting (e.g., consulting)

Additional Information:

 

Candidates must be eligible to work in the United States as a U.S Perm Resident or U.S. Citizen.

 

Based on eligibility and job status, Cadmus offers an excellent benefits package to include: medical, dental, vision, company paid disability and life insurance, 401(k) program, paid time off (PTO), paid holidays, voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional benefits and various bonus programs.

 

The salary range for this position is$80,000 - $95,000. The actual salary will be determined by several factors, including relevant work experience, education, skills, and market competitiveness.

 

We value the critical role safety and health protocols contribute to everyones success at Cadmus, and work together to align and comply with all federal, state, and local safety and health mandates to ensure a safe and valuable work environment.

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