Data Analyst (SQL, AWS)
Indexed description
Your first assignment
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, 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; or
- replacing manual reporting with repeatable, tested workflows
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.
What You'll Build
- The numbers a federal program runs on, with the provenance to prove where each one came from
- Clean analytical datasets that reconcile source fields, business definitions, and calculation logic, so every analysis after yours starts on solid ground
- Dashboards, reports, and data visualizations people return to because they answer the question, load fast, and never mislead on a scale or a label
- The quality evidence behind the reporting: validation checks, reconciliation reports, and issue logs that hold up in an audit
- AI-assisted analysis as standard practice: coding assistants and language models across the lifecycle, with your judgment on top
- In time, the firm itself: new capabilities, tools, and lines of business you help spin up
What You Bring
- Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work faster or safer
- The discipline of defined measures: documented rules, reconciled sources, and reports that refresh without surprises
- The judgment to choose the chart that serves the reader, and the restraint to leave out the one that does not
- The precision to work where accuracy and auditability are not optional
What We Offer
A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.
What We Commit To
As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.
We hire people who want to help build the firm, not just work at it. If that is you, apply.
Peregrine Advisors is an equal opportunity employer.
Peregrine exclusively works with OPEN Data Jobs to recruit our team. Register with OPEN Data Jobs to be considered for this opening and future roles.
Requirements
- 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
- 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
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