Data Analyst (SQL, AWS)

OpenDataJobs • Washington, DC

5d • Hybrid

About The Position

Peregrine Advisors is a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission. We are looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution. Your first assignment will likely include turning a federal program's operational data into numbers people can trust by defining measures with the people who own the process, writing down the business rules behind every number, writing SQL to turn platform data on Amazon Aurora and related AWS data stores into clean, reconciled analytical datasets, building recurring reports and dashboards, tracing discrepancies to their source, or replacing manual reporting with repeatable, tested workflows. Adaptability and a demonstrated capacity to learn new concepts, systems, and tools are what keep you ahead of program needs as projects complete and priorities shift. The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.

Requirements

• Sole United States citizenship and the ability to obtain a Public Trust determination
• 3+ years of data analysis experience
• Bachelor's degree
• Strong working command of SQL
• Experience building reports and dashboards in a business intelligence tool (Power BI, Tableau, or comparable)
• Familiarity with scripting for analysis (Python or R)
• Ability to own an analysis from question through delivered, documented answer
• Basic proficiency in writing, PowerPoint, and Excel

Nice To Haves

• Master's degree in a relevant field
• Experience with cloud data platforms on Amazon Web Services (AWS)
• Federal program, financial, or performance data experience
• Familiarity with AI-assisted developer and analysis tooling

Responsibilities

• Defining measures with the people who own the process, and writing down the business rules behind every number
• Writing the SQL that turns platform data on Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets
• Building the recurring reports and dashboards a program actually uses, with documented measures, refresh schedules, and access controls
• Tracing discrepancies to their source: definitions, timing, filters, and source systems, until the number is explained
• Replacing manual reporting with repeatable, tested workflows
• Building the numbers a federal program runs on, with the provenance to prove where each one came from
• Creating clean analytical datasets that reconcile source fields, business definitions, and calculation logic
• Developing dashboards, reports, and data visualizations
• Providing quality evidence behind the reporting: validation checks, reconciliation reports, and issue logs
• Implementing AI-assisted analysis as standard practice: coding assistants and language models across the lifecycle
• Spinning up new capabilities, tools, and lines of business

Benefits

• Medical, dental, and vision with the employee premium fully paid and half of dependent premiums
• Employer-paid life, accidental death, and short-term and long-term disability insurance
• 401(k) matched 100% up to 4% of salary, vesting immediately
• Unlimited paid time off
• Sponsored professional certifications and continuing education

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level