M&C Saatchi World Services US is seeking a highly analytical and intellectually curious Senior Data Analyst to support delivery of a federal contract. This role builds on core data analysis, reporting, and performance measurement while adding hands-on work with Python, AWS data sources, and generative and LLM-based systems.
THE ROLE
The Senior Data Analyst will lead performance measurement, reporting, and data-driven decision support across the delivery team. The role will guide how data from databases, third-party APIs, and Amazon S3 is gathered, organized, validated, and used for analysis and government reporting. Partnering closely with engineers, product and UX teams, program leadership, and government stakeholders, you will help shape answers to clients and user experiences. You will review data, test outputs against client needs, and turn complex questions into clear, well-documented solutions. The ideal candidate combines strong analytical judgment, Python and SQL skills, clear writing, and a consultative approach. They can lead through ambiguity, raise data quality and reporting standards, and help colleagues use AI-assisted development tools responsibly.
Key Responsibilities
• Lead the development and refinement of KPI frameworks, measurement approaches, dashboards, reporting structures, and analytical methods aligned to mission and program objectives.
• Analyze performance, communications, outreach, digital, and operational data to identify trends, risks, opportunities, and practical recommendations.
• Develop, review, and optimize SQL queries and data extracts; establish clear validation and reconciliation methods across multiple data sources.
• Guide Python-based data workflows that collect, clean, organize, and update information from databases, third-party APIs, files, and Amazon S3.
• Use Claude Code, Codex, or comparable AI-assisted tools to support query development and analysis; set expectations for review, validation, documentation, and responsible use of outputs.
• Partner with product, UX, and engineering teams that use generative and LLM-based systems, helping assess data inputs, test outputs, capture feedback, and improve client workflows.
• Establish practical standards for data quality, documentation, reporting consistency, and repeatable analytical processes across the delivery team.
• Lead the development of government-facing reports, technical briefs, analytical narratives, and executive-ready materials that clearly communicate methodology, findings, limitations, and recommendations.
• Work directly with client and delivery teams to frame ambiguous problems, evaluate options, and recommend creative, evidence-based approaches that balance user needs, data availability, timelines, and reporting requirements.
• Mentor analysts and cross-functional colleagues on Python, SQL, data quality, reporting discipline, and responsible use of AI-ena