Senior Data Analyst

Harnham is recruiting Senior Data Analysts for a mission-driven organization focused on using data to address complex social challenges and reduce child poverty across Dallas. The role involves defining analytical questions, analyzing public and administrative datasets, applying rigorous statistical methods, and translating findings into actionable recommendations for leaders and community stakeholders.

Responsibilities:

• Turn ambiguous stakeholder requests into clearly defined, answerable analytical questions
• Source, combine, clean, and analyze public, administrative, and internal datasets
• Evaluate data quality, missingness, sampling issues, outliers, margins of error, and other limitations before drawing conclusions
• Apply statistical methods such as regression, hypothesis testing, sampling, and weighting where appropriate
• Identify confounding factors and clearly communicate what the data does and does not support
• Build clean, reproducible analytical workflows using R, Python, Stata, or similar tools
• Translate complex findings into concise recommendations, decision memos, and visuals for non-technical stakeholders
• Partner directly with program leaders, public agencies, and community stakeholders to influence resource allocation, program design, and strategy
• Use AI-assisted tools across research, coding, and QA while independently validating the methodology and final conclusions

Requirements:

• 3–4+ years of applied analytical experience solving real-world business, policy, research, healthcare, consulting, or program-related problems
• Strong statistical foundations and the judgment to determine which analytical approach is appropriate — and when the data isn't strong enough to support a conclusion
• Hands-on experience working with messy, complex datasets , ideally including public, administrative, healthcare, policy, demographic, or other real-world data
• Fluency in at least one analytical programming language such as R, Python, or Stata
• Experience creating reproducible, well-documented analytical workflows
• Strong written and verbal communication skills, particularly translating technical analysis for non-technical decision-makers
• A consultative mindset: you're comfortable receiving an unclear question, figuring out what the stakeholder •actually• needs to know, and independently determining how to answer it
• Experience in one or more of the following would be particularly valuable:
• Program evaluation / impact evaluation • causal inference • quasi-experimental methods • health outcomes or HEOR • economic or quantitative consulting • public policy analytics • geographic/spatial analysis • demographic analysis • government or nonprofit analytics