Technical – Methodology Lead Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Convert client inquiries and solicitation needs into robust research and analytical strategies.

• Identify data sources, sampling techniques, comparison groups, assumptions, and analytical methodologies.

• Guide internal analysts in data gathering, preparation, analysis, and interpretation processes.

• Set benchmarks for source documentation, reproducibility, limitations, and evidence that supports conclusions.

• Evaluate models, calculations, survey tools, interview protocols, and analytical results.

• Recognize methodological risks, data deficiencies, and conclusions that surpass the available evidence.

• Choose and collaborate with specialized experts for clearly defined technical tasks.

• Convert findings into actionable recommendations for agency leaders.

• Assist in client presentations, technical discussions, and stakeholder workshops.

• Contribute technical methodologies, staffing assumptions, and effort estimates to proposals.

• Develop reusable methodologies, analytical templates, and training resources.

• Collaborate with the independent QA lead to address findings prior to delivery.

⛳️ Requirements

• Proven expertise in one or more relevant areas: labor economics, workforce analytics, public policy research, compensation analysis, economic development, or program evaluation.

• Experience in designing and executing applied research or analytical consulting projects.

• Strong quantitative abilities and the capacity to assess data quality, assumptions, and methodological constraints.

• Familiarity with public datasets and documenting analytical processes so that another qualified reviewer can replicate them.

• Ability to link analytical results to operational or policy-related decisions.

• Experience in supervising analysts or managing multidisciplinary technical teams.

• Excellent technical writing skills and the capability to convey complex findings to non-technical audiences.

• Relevant academic background or equivalent professional experience supported by completed work.

• Preferred: Advanced education in economics, statistics, public policy, public administration, or a related field.

• Preferred: Experience working with government agencies or other public-sector clients.

• Preferred: Knowledge of workforce and economic data sources such as BLS, Census, and state labor market information.

• Preferred: Proficiency in relevant analytical tools, including R, Python, SQL, or advanced Excel.

• Preferred: Experience with mixed-method research, survey design, compensation benchmarking, or evaluation design.

• Preferred: Background in developing reusable analytical methods and mentoring delivery teams.

🏝️ Benefits

• Comprehensive health coverage including medical, dental, and vision insurance.

• Opportunities for professional development and continued education.

• Flexible work arrangements and a positive work-life balance.

• Competitive salary and performance-based bonuses.

• Supportive team environment with a focus on collaboration and innovation.