Per Scholas Data Analyst interview questions & guide 2026

The salary data provided reflects an hourly compensation model, typically ranging between $21 and $23 USD. Candidates should interpret these figures as standardized rates for the Instructional Assistant level, which often scales based on geographic location and specific regional cost-of-living adjustments. This information is vital for managing your expectations during the compensation discussion phase of the hiring process.

The following questions are representative of the patterns observed in recent Per Scholas interview cycles. While interviewers may adapt their approach based on the specific cohort or team, these questions are designed to test your technical competency, your ability to simplify complex information, and your alignment with the organization’s educational mission.

Curriculum Design and Pedagogy

These questions assess your ability to structure learning and verify student comprehension.

• What are the assessment methods you would apply to check if the learners understand the content?
• How will you explain complex topics like statistics to someone who does not have a college degree?

Preparation for this role requires a dual focus: technical mastery and pedagogical empathy. You must be able to perform data tasks while simultaneously articulating how you would teach those tasks to a diverse group of learners.

Instructional Capability – This is the most vital criterion. You must demonstrate that you can break down advanced technical jargon into plain, relatable language. Interviewers look for patience, clarity, and the ability to design scaffolding for learners at different levels of proficiency.

Technical Domain Knowledge – While you are in an instructional role, you must be a credible authority on data analytics, data science, and basic DevOps. Be prepared to discuss technical concepts with the same level of rigor you would expect to see in a professional production environment.

Mission Alignment – Per Scholas values candidates who are deeply invested in social impact. You should be ready to articulate why you are making a pivot toward education and how your professional background has prepared you to support students entering the workforce.

The interview process at Per Scholas is characterized by a focus on both your technical background and your potential as an educator. The pace is typically efficient, and the communication from the recruitment team is generally noted as being responsive and clear. You should expect a progression that moves from an initial assessment of your fit to a deeper dive into your instructional methodology.

The process is designed to be collaborative rather than purely evaluative. You will likely interact with members of the learning domain and leadership, ensuring that you can thrive in an academic-professional environment. A standout feature of this process is the practical demonstration, where you are asked to show—not just tell—how you would approach the core responsibilities of the job.

The visual timeline above outlines the typical progression from the initial recruiter screen through to the final presentation round. Candidates should use this to pace their preparation, ensuring they have sufficient time to refine their teaching demonstration before the final stage. Remember that the process may vary slightly based on the urgency of the specific cohort you are supporting.

Instructional Design and Delivery

This area evaluates your ability to translate technical knowledge into a structured learning path. Strong candidates demonstrate a clear understanding of how to sequence topics, create effective labs, and measure student success through thoughtful assessment.

Be ready to go over:

• Assessment Methods – How you verify learning beyond simple quizzes.
• Scaffolding – How you introduce simple concepts before moving to complex data architecture.

As an Instructional Assistant, your primary responsibility is to support the delivery of high-quality technical education. This involves managing the day-to-day technical needs of the classroom, assisting lead instructors with curriculum delivery, and providing one-on-one mentorship to students.

You will often collaborate with the Learning Domain team to refine existing materials and ensure they remain relevant to current industry standards. Projects may include updating lab exercises to reflect modern data tools, troubleshooting technical issues for students during coding sessions, and conducting performance assessments to ensure that every student is on track to graduate and secure employment.

A strong candidate for this role possesses a blend of technical expertise and the soft skills necessary for effective teaching. While you do not need to be a senior architect, you must have a solid grasp of the data stack to provide accurate guidance.

• Must-have skills: Proficiency in Data Analytics and Data Science fundamentals, experience with ETL/ELT processes, and strong verbal communication skills.
• Nice-to-have skills: Experience with DevOps tools, prior tutoring or teaching experience, and familiarity with curriculum development software.
• Experience level: Most successful candidates have a background in data roles and are looking to transition their experience into a mission-driven educational environment.

Q: How difficult are the technical interviews? A: The technical questions are generally accessible for someone with professional experience in data analytics. The emphasis is on your ability to explain concepts rather than just solving complex algorithmic puzzles.

Q: How much time should I spend preparing for the presentation round? A: Treat the presentation as a critical component of your interview. Spend several hours designing a clear, concise lesson plan that demonstrates your teaching style and technical knowledge.

Q: Is this a remote or in-person role? A: The role may vary by location. Always confirm the specific requirements for the branch you are applying to, as some roles require in-person instruction while others may offer hybrid flexibility.

Q: What differentiates successful candidates? A: Successful candidates are those who balance technical competence with a high degree of empathy and an obvious passion for the Per Scholas mission.

• Structure your answers: Use the STAR method (Situation, Task, Action, Result) for behavioral questions, especially when discussing past experiences with mentorship or problem-solving.
• Focus on the student: Even when answering technical questions, try to frame your answer through the lens of a student. For example, when asked about ETL, explain it in a way that highlights a common "aha!" moment for a learner.
• Show passion for education: Be ready to explain your "why." The interviewers want to see that you are genuinely interested in the social impact of the role.
• Research the curriculum: Look at the general topics covered in Data Analytics and be prepared to discuss which areas you find most interesting or challenging to teach.

The Instructional Assistant (Data Analytics) position is an exceptional opportunity to use your data expertise to effect real-world change. By focusing on your ability to explain complex technical concepts and demonstrating a deep commitment to the Per Scholas mission, you will position yourself as a top-tier candidate. Remember that your interviewers are looking for a teammate who can inspire students as much as they can debug a dataset.

You can explore additional interview insights, practice questions, and preparation resources on Dataford to sharpen your approach. With dedicated preparation and a clear understanding of the pedagogical expectations, you are well-equipped to succeed in this process. We wish you the best of luck as you move forward in your journey with Per Scholas.