Senior Data Analyst — AI-Driven Federal Analytics (Hybrid)

M+C Saatchi UK; Washington (District of Columbia); Hybrid; USD 105,000 - 150,000; Full time

Benefits offered by this job

Caregiver leave

Health plans

Dental & Vision

Paid time off

401(k) match

Wellness benefits

Mental health support

Remote work ok

Training & events

Job summary

M&C Saatchi World Services US seeks a highly analytical Senior Data Analyst to support a federal contract. You will lead performance measurement, reporting, and data-driven decisions using Python, AWS sources, and generative AI tools, collaborating with engineers, product, and government stakeholders.

The role emphasizes data quality, documentation, and governance while guiding analysts and cross-functional teams through complex problems with clear, evidence-based recommendations.

Qualifications

• Approximately 6 years of relevant experience in data analysis, reporting, performance measurement, BI, or related field.
• Strong Python proficiency for data collection, cleaning, reporting, and analysis.
• Strong SQL skills to design, validate, optimize, and explain complex queries.

Responsibilities

• Lead KPI frameworks, dashboards, reporting structures, and analytical methods aligned to mission and program objectives.
• Analyze performance and operational data to identify trends, risks, and recommendations.
• Develop and optimize SQL queries and data extracts; ensure data validation and reconciliation across sources.
• Guide Python-based data workflows collecting and updating data from databases, APIs, files, and Amazon S3.
• Support AI-assisted query development and ensure responsible use of outputs.

Skills

Python

SQL

AWS

Data analysis

Data visualization

Government reporting

LLM tools

Stakeholder comms

Education

BA/BS in Data Analytics or related field

Tools

Claude Code

Codex

AWS data services

Job description

M&C Saatchi World Services US seeks a highly analytical Senior Data Analyst to support a federal contract. You will lead performance measurement, reporting, and data-driven decisions using Python, AWS sources, and generative AI tools, collaborating with engineers, product, and government stakeholders.

The role emphasizes data quality, documentation, and governance while guiding analysts and cross-functional teams through complex problems with clear, evidence-based recommendations.