Economist

Robert D. Niehaus, Inc.

$68K — $97K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • US citizenship required
  • Education: Bachelor's in Economics with 2+ years experience or a Master's in Economics or related field
  • Intermediate understanding of economic concepts and quantitative methods
  • Proficiency in R or Python for data analysis
  • Strong critical thinking and problem-solving skills
  • Excellent communication skills in interpersonal, verbal, and written formats
  • Advanced proficiency in MS Office applications, especially Excel

Responsibilities

  • Conduct regional economic analyses for policy-making support
  • Develop and manage data analysis workflows
  • Prepare and present research reports and client briefings
  • Tackle novel problems with tailored technical approaches
  • Contribute to internal research and development initiatives
  • Review economic analyses from colleagues for quality assurance

Benefits

  • Above-market performance-based bonuses
  • Employee Stock Ownership Program (ESOP)
  • 401k Plan with profit sharing
  • Comprehensive Medical, Dental, and Vision Insurance
  • Life Insurance and Disability Insurance
  • Paid Time Off (Vacation & Sick) and Holidays
Full Job Description
Job Title: Economist
Classification: Full Time
Location: Santa Barbara, CA | Minimum of two days per week in Santa Barbara office
Work Hours: Flexible with start time between 7:00 - 9:00 a.m.
Travel: Up to 10% of time
Base Salary Range: $68,640-$97,760 annually ($33-$47/hour)

Benefits:
  • Above-market performance-based bonuses
  • Employee Stock Ownership Program (ESOP)
  • 401k Plan with profit sharing
  • Medical, Dental, and Vision Insurance
  • Life Insurance, Short- and Long-Term Disability Insurance
  • Paid Time Off (Vacation & Sick) and Holidays
Summary:
We are seeking an Economist that is a versatile problem solver who may perform analytical, managerial, client service, and business development tasks across various economic consulting projects. In this role, you will design, build, and maintain data-driven workflows focused on regional housing market and cost of living analysis. You will also conduct research and prepare reports on issues related to the cost, quality, and availability of rental housing for US military service members and their families. We look for smart, humble, collaborative, flexible, and hardworking professionals. In return, we reward personal and professional growth with greater responsibility and benefits. This position will report to RDN's Program Manager for the Basic Allowance for Housing (BAH) and Economic Studies programs.

Key Responsibilities:
  • Conduct applied regional economic analyses to support client decision- and policy-making
  • Develop, scale, and support data collection and analysis workflows
  • Prepare and present client briefings, research reports, and interactive dashboards
  • Design and execute technical approaches to novel problems tailored to client needs
  • Contribute to internal methodological research and development initiatives
  • Review and provide feedback on colleagues' economic analyses and reports
Requirements:
  • US citizenship
  • Must pass FBI fingerprint check and National Agency Check with Written Inquiries (NACI)
  • Education and Relevant Experience
    • Bachelor's degree in Economics plus 2+ years' relevant experience, OR
    • MA/MS/MBA in Economics or closely related field
  • Intermediate or higher understanding of economic concepts and quantitative methods, i.e., statistics, econometrics, data collection and estimation, and regional economic analysis
  • Intermediate or higher proficiency in R (preferred) or Python for data wrangling, statistical analysis, and data visualization
  • Excellent critical thinker and problem-solver
  • Strong interpersonal, verbal, and written communication
  • Reliable and efficient workload management
  • Advanced user of MS Office applications (Excel, Word, PowerPoint, Outlook)
What we also love to see:
  • Familiar with SQL, database design, and Amazon Web Services (AWS)
  • Uses industry best practices for building data analysis workflows, e.g., documentation, testing, version control, algorithms, data structures
  • Project or personnel management experience

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