Federal Data Analyst — Data Quality & Insights (On-site Boston)

Pryzm; Boston (MA); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Competitive salary and equity

Platinum healthcare coverage

Life/AD&D and disability insurance

Job summary

Pryzm is seeking a Federal Data Analyst in Boston to own federal data, ensuring accuracy and usefulness for customers. The role blends data work with market-facing analysis and requires translating data gaps into product improvements.

Responsibilities include QA across personnel, organizational, and program data, building data feeds, and delivering credible narratives from data patterns for executive audiences.

Qualifications

• Located in Boston; on-site position.
• US Person required.
• Veterans and those with military or intelligence backgrounds strongly encouraged to apply.

Responsibilities

• Own and continuously improve Pryzm’s federal data, noting meaningful shifts and building structural improvements within the platform
• Field customer-requested data pulls end to end, from scoping the ask to delivering a clean, accurate output
• Design and build new data feeds and trackers tailored to specific customer use cases and workflows
• Mine Pryzm’s data for patterns and signal, turning it into thought leadership for existing customers and outbound marketing
• Run structured QA passes across personnel, organizational, and program data to catch errors, gaps, and staleness before customers do
• Partner with the rest of the data team, shaping long-term priorities for data coverage, structure, and quality
• Partner with product and engineering to translate data gaps and customer feedback into architecture and UI improvements

Skills

SQL basics

Data analysis

Analytical writing

Attention to detail

Education

Bachelor's degree or relevant internship

Job description

Pryzm is seeking a Federal Data Analyst in Boston to own federal data, ensuring accuracy and usefulness for customers. The role blends data work with market-facing analysis and requires translating data gaps into product improvements.

Responsibilities include QA across personnel, organizational, and program data, building data feeds, and delivering credible narratives from data patterns for executive audiences.