Data Analytics Engineer

Data Analytics Engineer

Hours: 20 hours/week (1099 contractor)

Location: Fully remote — United States. (Optional hybrid work in Phoenix office)

Compensation: $40–55/hour

About Us

We are a mission-driven EdTech consulting firm specializing in K–12 software solutions—delivering full-stack development, UX/UI, go-to-market strategy, and data analytics tailored to education systems like SIS and LMS platforms. We collaborate closely with EdTech startups, schools, districts, and other education-adjacent organizations to help them adopt scalable, user-centered, and integrated technology.

School Harbor's HQ is located in Phoenix, Arizona, but teammates on the Data Team live in Arizona, Colorado, Utah, and Maryland.

Role Overview

As a Data Analytics Engineer, you will play a pivotal role in transforming raw educational data into actionable insights. You'll empower internal teams and K–12 clients by organizing, analyzing, and visualizing complex datasets—helping them streamline decision-making, monitor performance, and drive strategic, data-backed outcomes.

This is a hands-on role combining data engineering, analytics, and process automation. You'll work across multiple client projects, often independently, to build reliable integrations, develop practical solutions, and communicate insights to technical and non-technical stakeholders.

Example tasks:

• Build a dashboard visualizing student enrollment data for a district in Tableau, Power BI, or Plotly.
• Automate end-of-year school reporting (charts, tables, data transfers, etc.) in Python.
• Connect a school lunch database to a separate student information system using a cloud-hosted function.
• Build automated email marketing workflows that segment contacts, trigger communications, and track engagement.
• Integrate Google Ads or Meta Ads performance data into reporting dashboards to help clients understand campaign effectiveness.

Key Responsibilities

Data Management & Architecture

• Consolidate, clean, and maintain data from LMS, SIS, assessments, and other sources.
• Design reliable ETL processes to support consistent data flows across multiple systems.
• Leverage relational databases, SQL, and appropriate NoSQL technologies to organize, investigate, and prepare data for analysis.
• Identify and resolve data quality issues, inconsistencies, and integration challenges across large, real-world datasets.

Process Automation

• Build and maintain cloud-hosted automation workflows to streamline reporting, data transfers, and integrations.
• Develop Python scripts and applications to automate recurring data pulls, transformations, and reporting workflows.
• Develop AI-driven tools to optimize and scale complex or repetitive processes.
• Troubleshoot, maintain, and improve existing integrations and automation systems.

Analysis & Insight Development

• Explore trends and patterns in student engagement, assessment results, and system usage.
• Develop and deliver KPI dashboards and performance reports for educators and administrators.
• Produce recurring reports that help clients monitor program outcomes, operational performance, and engagement.

Visualization & Reporting

• Build intuitive dashboards and visualizations using tools like Power BI, Tableau, or Plotly Dash.
• Present findings in compelling, interactive formats tailored for non-technical stakeholders.
• Design clear, executive-friendly reporting experiences that make complex data accessible and actionable.

Marketing Automation & Analytics

• Support the implementation and maintenance of automated email marketing workflows, including audience segmentation, triggered communications, and engagement tracking.
• Help integrate marketing platforms and contact databases to maintain accurate audiences and reliable data flows.
• Support reporting and analytics for digital advertising campaigns across platforms such as Google Ads and Meta Ads, including campaign performance, conversions, and return on ad spend.
• Automate the collection and consolidation of marketing performance data to support dashboards, campaign optimization, and business decision-making.

Collaboration & Communication

• Partner with engineers, UX designers, product managers, marketing teams, and clients to understand analytical needs and inform product direction.
• Work directly with clients to clarify requirements, respond to data requests, and communicate project progress and technical tradeoffs.
• Translate complex data into clear, actionable recommendations.
• Independently investigate ambiguous problems, identify root causes, and propose practical solutions.

Quality Assurance & Compliance

• Ensure data integrity and governance across all analytics processes through thorough QA.
• Validate datasets, integrations, and reporting outputs for accuracy and consistency.
• Adhere to ethical standards, security practices, and regulatory requirements relevant to K–12 education data.

Qualifications

We're seeking a candidate who can work independently and collaboratively, demonstrating initiative, problem-solving skills, curiosity, and the drive to build productive relationships with teammates, clients, and other stakeholders.

Required

• 2+ years of experience working in data analysis, data engineering, or process automation within any industry, or equivalent demonstrated proficiency in a nontraditional role.
• Strong proficiency in Python, particularly for data cleaning, transformation, automation, and analysis. Comfortable working with messy, real-world datasets and building reliable workflows.
• Strong working knowledge of SQL and relational databases, including investigating data issues, preparing datasets, and supporting reporting workflows.
• Proficiency with Excel and/or Google Sheets for data analysis and manipulation.
• Experience building and deploying cloud-hosted applications, integrations, or automation workflows.
• Experience building dashboards and data visualizations, with an ability to communicate insights clearly and effectively.
• Experience managing large datasets and integrating information from multiple systems, including identifying and resolving data quality issues.
• Excellent written and verbal communication skills, including experience interacting with clients or end users in a professional setting.
• Strong analytical and problem-solving ability, with the initiative to independently investigate ambiguous technical challenges and develop practical solutions.
• Baseline coding proficiency: AI-supported workflows are encouraged, but candidates must be able to read, write, debug, and organize practical code without relying on AI assistance.
• Must be permanently authorized to work in the United States as a 1099 contractor.

Preferred

• 4+ years of experience in data analysis, data engineering, or process automation.
• Experience developing interactive dashboards in Power BI and/or Plotly Dash.
• Experience with Microsoft Azure, including Azure Functions, Azure Web Apps, databases, Key Vault, storage accounts, or related cloud services.
• Experience working with at least one major cloud provider, such as Azure, AWS, or GCP.
• Experience working with education data and school systems (SIS/LMS), such as PowerSchool, Clever, i-Ready, or similar platforms.
• JavaScript and/or TypeScript proficiency, including experience contributing to custom dashboards, web applications, or front-end data products.
• Experience developing or maintaining email marketing automations and integrating marketing tools with CRMs or other data systems.
• Familiarity with Google Ads, Meta Ads, and digital advertising performance metrics, particularly from a reporting, integration, or analytics perspective.
• Experience with predictive analytics, statistical modeling, forecasting, or machine learning.
• Experience collaborating with end users and stakeholders to define requirements, communicate project progress, and translate business needs into technical solutions.

Education

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

What We Offer

• A collaborative environment where your data and automation work has a tangible impact on students, families, and educators.
• Remote work arrangement with flexible schedules.
• Opportunity to influence product strategy and go-to-market execution through actionable insights.
• Direct collaboration with senior-level experts in software, UX, marketing, and data.
• Exposure to diverse projects across K–12 education, EdTech startups, and education-adjacent organizations spanning marketing, operations, finance, reporting, and more.
• A culture that values innovation, autonomy, and delivering practical solutions over selling one-size-fits-all software.

Compensation &

Work Arrangement

• $40–55/hour
• 20 hours/week, 1099 contractor arrangement
• Fully remote, 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
• We do not currently offer employer-sponsored health insurance or paid time off (PTO)

Pay: $40.00 - $55.00 per hour

Benefits:

• Flexible schedule

Application Question(s):

• Will you now or in the future require sponsorship for employment visa status (e.g., H-1B)?
• What interests you most about this position?
• What questions do you have about this position?
• Please tell us a bit about your Python experience.
• What interests you about working in the Education & EdTech industry?
• If offered this position, would you be able to begin work and remain employed in the United States without requiring School Harbor to obtain or sponsor work authorization on your behalf?

Work Location

Remote