Data Analyst Engineer (1099)

School Harbor: Data Analyst Engineer Hours: 40 hrs/week (1099)
Our client, School Harbor, is seeking a Data Analyst Engineer to support data management, reporting, and analytics for its clients. This role will work independently to build reliable data pipelines, maintain dashboards, and translate data into actionable insight for program and district stakeholders.

About the Team
School Harbor is an educational technology services company based in Phoenix, Arizona, that provides software development, product strategy, and specialized data solutions for K-12 schools, districts, and EdTech startups. Its data and analytics team focuses on system integration, real-time dashboards, and automated state reporting.

Your Responsibilities

• Reporting & Dashboards
  • Build and maintain dashboards (Tableau, Power BI, or Looker) for internal teams and/or stakeholders.
  • Produce recurring reports on student/program outcomes, usage metrics, or engagement data.
  • Translate raw data into digestible insights for non-technical audiences (educators, program managers, administrators).
• Data Management & Pipeline
  • Extract, clean, and transform data from edtech platforms.
  • Leverage relational database models and no-SQL to organize data for analysis.
  • Build Python scripts to automate recurring data pulls, cleaning tasks, or reporting workflows.
  • Maintain data quality and flag inconsistencies across source systems.
• Stakeholder Support
  • Respond to data requests from clients and internal team members.
  • Present findings in a clear, non-technical format as needed.

Qualifications
Required

• At least 2 years of experience working heavily in a data-focused role (analyst, data ops, or similar) or in a non-traditional role with demonstrated strong data fluency.
• AI-supported workflows are encouraged, but candidates  must have enough baseline proficiency to read, debug, write, and organize practical code without relying on assistance.
• Strong working experience with relational database models. Comfortable using SQL to investigate data issues, prepare datasets, and support reporting workflows.
• Strong proficiency in Python for data cleaning, transformation, automation, and analysis. Comfortable working with messy, real-world datasets and building reliable data workflows.
• Experience building succinct and dashboards as deliverables. Power BI and Plotly highly preferred.
• Ability to present complex data in a simple, intuitive, and executive-friendly way.
• Strong written and verbal communication skills with an ability to translate technical work into non-technical language. Comfortable working directly with clients, asking clarifying questions, and explaining tradeoffs.
• Able to work independently through ambiguous data problems, investigate root causes, and make practical recommendations.
• Experience managing large datasets and multiple system integrations . Must be able to identify data quality issues, resolve inconsistencies, and prepare data for reporting or analysis.
• Must be  permanently authorized to work in the United States as a 1099 contractor. This role is remote and open to candidates working from anywhere in the United States.  Short-term  work from outside the United States is generally allowed in most countries, subject to client, legal, tax, and security considerations.

Preferred

• Experience with Azure databases, Azure Functions, Azure Web Apps, Key Vault, storage accounts, or related cloud tooling.
• Experience deploying or supporting data workflows, applications, or services using at least one major cloud provider , such as Azure, AWS, or GCP.
• Education data experience: Familiarity with student data, school systems, education nonprofits, districts, charter schools, or education technology.
• Fluency in JavaScript and TypeScript is a major plus, including experience contributing to custom dashboards, web apps, or front-end data products.
• Experience with predictive analysis , statistical modeling, forecasting, or machine learning.

Not Required

• Education: No specific degree or education level is required. We care more about demonstrated hard skills, practical experience, communication ability, and quality of work.