Senior Data Analyst
- Compensation
- Not disclosed
- Location
- Washington, US
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 6+ years
- Category
- Data analytics
- Posted
Skills
Must have
- • Approximately 6 years of relevant experience in data analysis, reporting, performance measurement, business intelligence, applied data science, or a related field.
- • Strong Python proficiency and experience using scripts or workflows to support data collection, cleaning, reporting, and analysis.
- • Strong SQL and relational data expertise, including the ability to design, validate, optimize, and explain complex queries and transformations.
- • Demonstrated experience working with data from APIs, databases, files, and Amazon S3 or comparable cloud storage.
- • Experience working in AWS or another cloud-based data environment and familiarity with sound data quality, reporting, and technical documentation practices.
- • Practical experience or strong interest in working with generative and LLM-based systems in analytics, product, or client-support workflows.
- • Experience using Claude Code, Codex, or comparable AI-assisted development tools with strong independent judgment, validation, review, and documentation practices.
- • Demonstrated ability to write high-quality reports, briefs, and analytical narratives for government or senior external stakeholders.
- • Experience leading analytical work across multidisciplinary teams, translating client needs into actionable work, communicating delivery risks and tradeoffs, and applying a proactive, creative, and
- • Must hold an active U.S. Government security clearance, as required by the position. Preferred Qualifications
- • Experience with AWS data services or comparable cloud tools that support reporting and data workflows.
- • Experience with Git workflows, testing practices, or repeatable data pipeline and reporting processes.
- • Experience supporting federal government, public-sector, mission-driven, or security-sensitive programs.
- • Experience mentoring analysts or colleagues and establishing data quality, reporting, or delivery standards.
- Educational Requirements:
- BA or BS in Data Analytics, Statistics, Business Intelligence, Computer Science, Economics, Applied Mathematics, Marketing Analytics, or a related field preferred. Equivalent professional experience m
- Experience: Approximately 6 years of relevant experience
- Location: Hybrid, Washington, DC or New York City
- Language Requirements: Fluent written and spoken English required
- Eligibility Requirements: • U.S. Citizenship: Must be a United States Citizen (required by government contract). • Clearance Eligibility: Must be able and willing to obtain a U.S. Government Secret or
- WHY YOU'LL LOVE IT HERE
- • Work on impactful programs supporting federal and defense-related initiatives. • Collaborate with high-performing cross-functional teams across communications, digital and analytics disciplines. • O
- • Flexible hybrid working environment. • Exposure to complex, mission-driven stakeholder engagement challenges. • Career development opportunities within a fast-growing global organization.
Full description
ABOUT M&C SAATCHI WORLD SERVICES
M&C Saatchi World Services is a full-service marketing company renowned for using commercial advertising to solve the world’s toughest challenges. World Services is a specialty branch of M&C Saatchi Group, and we provide strategic communications, behavior change, and marketing support to Public Sector clients with special emphasis on the US Federal Government and State, Local, Tribal, & Territorial leaders.
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.