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Senior Analytics Engineer (K12) Job Opening In USA, USA – Now Hiring Schoolytics


Job description

About Us:


At Schoolytics, we are dedicated to transforming the educational landscape through innovative technology solutions.

We specialize in creating intuitive, data-driven dashboards that help K-12 school districts make informed decisions to enhance student learning outcomes.

As a growing startup, we are looking for passionate individuals who are eager to make a difference in the field of education by leveraging their technical skills in a meaningful way.


Job Description:


We are seeking a skilled Senior Analytics Engineer (K12) to join our dynamic team.

In this role, you will be responsible for building and maintaining integrations, automating data workflows, and ensuring data accuracy and availability across educational platforms.

You'll play a key role in supporting school operations.


Responsibilities:


  • Develop and maintain custom integrations and ETL processes between SIS platforms (PowerSchool, Infinite Campus, Aeries) and internal/external systems.
  • Design, implement, and optimize data pipelines
  • Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions.
  • Maintain technical documentation for systems, data models, and processes.
  • Monitor and troubleshoot data flow issues and respond to API changes.
  • Participate in cross-functional projects related to school operations, enrollment, attendance, and performance data.
  • Perform quality assurance (QA) on downstream data to ensure accuracy, consistency, and alignment with customer requirements.

Required Skills and Experience:


  • 4+ years of experience in a software engineering, data engineering, or SIS specialist role.
  • Hands-on experience with Student Information Systems like PowerSchoolInfinite Campus, and/or Aeries, including APIs, data exports/imports, and plugin development.
  • Strong skills in SQLPython, and ETL/ELT tools.
  • Experience working with RESTful APIs, SFTP, and other data exchange methods.
  • Experience in working with educational data.
  • Familiarity with data warehousing concepts.
  • Experience with data quality assurance practices and tools, including validation and reconciliation of datasets.
  • Strong attention to detail and ability to translate customer data requirements into technical specifications and QA checks.
  • Ability to work independently in a fully remote position.

Why Join Us:


  • Impactful, Mission-Driven Work: Make a real difference in the education sector by helping school districts harness the power of data.
  • Growth Opportunities: As we grow, you'll have opportunities to take on greater responsibilities and lead initiatives.
  • Supportive Team: Work in an environment that values collaboration, innovation, and continuous learning.

Schedule and Compensation:


  • Flexible Working Hours - key is being responsive to communications. 
  • Benefits include dental and medical insurance, 401k match, and flexible PTO. 


Required Skill Profession

Computer Occupations


  • Job Details

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Are You Looking for Senior Analytics Engineer (K12) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Schoolytics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Other Openings

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To prepare for your Senior Analytics Engineer (K12) interview at Schoolytics, research the company, understand the job requirements, and practice common interview questions.

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