Principal Data Analyst - Albuquerque, NM; Hybrid

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Full Time Albuquerque, NM, US

Salary Range: $ To $ Annually

RS21 is seeking a Principal Data Analyst to serve as the organization's foremost authority on data analysis, analytical methods, and the translation of complex data into actionable intelligence for mission-driven clients. This is the highest individual contributor level within the Data Analytics job family, and it carries significant responsibility for shaping how RS21 approaches analysis, insight delivery, and data-informed decision-making across its entire portfolio.

This is a hybrid position based out of our Albuquerque, NM office.

The Principal Data Analyst leads the most complex and strategically significant analytical engagements, advises clients at the executive level, and sets the analytical standards and practices that define RS21's quality and differentiation in the market. Beyond delivering exceptional analytical work, this role is expected to grow the capabilities of the broader analytics team through mentorship, methodology development, and thought leadership.

The ideal candidate is a seasoned analytical practitioner who combines deep technical expertise with executive presence, intellectual curiosity, and a genuine passion for using data to solve hard problems in healthcare, government, and public-interest domains.

• Lead the design and execution of the most complex analytical projects, including multi-source data integration, longitudinal analysis, geospatial analysis, and statistical modeling in support of client decision-making.
• Translate ambiguous, high-stakes business questions into rigorous analytical frameworks, ensuring methodological soundness and interpretive clarity.
• Apply advanced statistical techniques including regression modeling, time-series analysis, clustering, hypothesis testing, and causal inference to produce defensible, high-impact findings.
• Develop and maintain sophisticated analytical pipelines, dashboards, and reporting systems that deliver ongoing intelligence to clients and internal stakeholders.
• Validate and quality-assure analytical outputs produced by junior and senior analysts, ensuring accuracy, reproducibility, and appropriate handling of data limitations.
• Synthesize findings from large, complex datasets into executive-level narratives, visualizations, and recommendations that drive client action.

• Define and champion RS21's analytical standards, including best practices for data validation, reproducible analysis, visualization design, and documentation.
• Evaluate, recommend, and guide adoption of analytical tools, platforms, and technologies that improve team capability and delivery quality.
• Establish code and methodology review processes that ensure consistency and excellence across the Data Analytics practice.
• Lead the development of reusable analytical frameworks, templates, and accelerators that increase team velocity on common problem types.
• Serve as the technical authority on analytical questions that require senior judgment, including data quality trade-offs, methodological choices, and interpretive risk.
• Stay at the forefront of developments in data analytics, visualization, and applied statistics, bringing relevant innovations into RS21's practice.

• Serve as the senior analytical relationship owner for RS21's most strategically important client accounts, building trust as a long-term advisory partner.
• Engage directly with executive and senior client stakeholders to understand their data maturity, analytical needs, and decision-making context.
• Lead client-facing workshops, analytical briefings, and data strategy sessions that deepen client engagement and expand the scope of analytical partnership.
• Communicate complex analytical findings with clarity and confidence to non-technical audiences, including agency heads, program executives, and policy makers.
• Anticipate evolving client analytical needs and proactively propose analytical approaches, capability investments, or scope expansions that deliver additional value.
• Mentor and develop analysts at all levels within the Data Analytics practice, serving as a primary technical role model and professional development resource.
• Lead communities of practice, peer learning sessions, and internal knowledge-sharing initiatives that elevate the team's collective analytical capability.
• Partner with talent and HR leadership to define competency frameworks, career pathways, and hiring criteria for the Data Analytics job family.
• Contribute to onboarding programs for new analysts, ensuring they are equipped with RS21's tools, standards, and client engagement expectations from day one.
• Identify skill gaps across the analytics team and recommend targeted learning investments, training programs, or…