Senior Data Analyst

Senior Data Analyst – Strategic & Program Analytics

Location: Dallas, TX | Hybrid or RemoteCompensation: $100–140k Base SalaryA mission-driven organization in Dallas is looking for Senior Data Analysts to join a growing Strategic Analytics function focused on using data to tackle some of the city's most complex social challenges.This organization works at the intersection of data, public policy, healthcare, housing, education, criminal justice, and community programs, partnering with public agencies and community organizations to turn evidence into action.

The broader mission is ambitious and measurable: helping dramatically reduce child poverty across Dallas by improving how public resources and programs reach children and families.These are not traditional reporting or dashboard-focused analyst positions. We're looking for people who can take broad, ambiguous real-world questions, determine what can legitimately be answered with the available data, conduct rigorous analysis, and translate their findings into recommendations that leaders can actually act on.The OpportunitiesThere are multiple openings across two types of Senior Data Analyst roles:Senior Data Analyst – StrategyYou'll operate as a cross-functional analytical problem solver, working on questions that may come directly from city officials, agency leaders, foundations, and internal leadership.One week you might be investigating where eligible families aren't accessing public benefits; another could involve understanding geographic gaps in healthcare access, patterns in school attendance, housing affordability, or public safety.This role leans heavily into statistics, public and administrative data, and analytical judgment. You'll need to understand not only how to perform an analysis, but whether the available data can actually support the conclusion someone wants to draw. The underlying JD specifically emphasizes regression, sampling and weighting, hypothesis testing, missing data, and understanding the limitations of estimates.Senior Data Analyst – ProgramYou'll embed with a specific program area such as housing, maternal health, public safety, benefits delivery, or criminal justice, becoming that team's dedicated analytics partner.You'll learn the program's strategy, stakeholders, and recurring decisions, then use data to help the team understand what's happening, why it matters, and where resources or interventions may have the greatest impact.Both roles involve working heavily with messy, real-world datasets, with much of the information coming from publicly available sources and administrative data rather than perfectly structured internal systems.

What You'll Do

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.What We're Looking For: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.Nice to Have: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 analyticsBenefits include health, dental and vision insurance, retirement savings with employer match, generous PTO and holidays, and professional development support.