Instructional Assistant (Data Analytics) Bronx, New York, United States

Per Scholas; New York (NY); On-site; USD 26,000 - 37,000; Full time

Benefits offered by this job

40+ days PTO

Medical, dental, vision insurance

401(k) with company match

Parental Leave

Employee Assistance Program (EAP)

Job summary

Per Scholas Bronx campus is seeking an Instructional Assistant (Data Analytics) to join the Technical Instruction Training Team. You will support the Lead Instructor in delivering hands-on training, assist learners, and help manage labs and datasets to prepare graduates for entry‑level data analytics careers.

You will guide 15–36 learners, troubleshoot SQL or Python issues, and help students build dashboards in Tableau or Power BI, while maintaining attendance, grading, and timely feedback in

Qualifications

• Graduate of a Per Scholas Training Program or related Data Analytics education/work experience.
• Proficiency with SQL for querying and data manipulation.
• Practical experience with Excel (Pivot Tables, VLOOKUP/XLOOKUP).
• Knowledge of Python (Pandas, NumPy) or R for data analysis; dashboard experience in Tableau or Power BI.

Responsibilities

• Assist Lead Instructor in technical training sessions using provided curriculum.
• Support 15–36 learners via video conference or in-person labs; help with SQL/Python debugging and dashboards.
• Lead targeted study groups, 1-on-1 tutoring sessions based on instructor evaluations.
• Help with lab readiness, data collection, and troubleshooting lab software and equipment.
• Record attendance and manage data entry in LMS and related systems.

Skills

SQL

Excel

Python or R

Tableau/Power BI

Education

Data Analytics/CS/Statistics/IT background

Tools

Canvas LMS

Job description

Instructional Assistant (Data Analytics)

Bronx, New York, United States

ABOUT PER SCHOLAS:

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn , X , Facebook , Instagram , and YouTube .

Per Scholas candidates must reside in one of the following states, provided the position does not carry a specific office location requirement:AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA, WI.

Position Title: Instructional Assistant (Data Analytics)

Location: Bronx, NY

Rate: $23/hr

WHO WE ARE LOOKING FOR: Per Scholas is seeking a dynamic, team-oriented individual to serve as an Instructional Assistant (Data Analytics) to join our ever-expanding organization. This person will join our Technical Instruction Training Team and be classified as a support instructor. The Instructional Assistant will play a vital role in our organization’s mission, training Per Scholas learners to become outstanding entry to mid-level Data Analytics professionals.

Main Objectives

• Provide effective instructional and technical support to the Lead Instructor in and out of training sessions.
• Provide effective technical guidance, tutoring, and lab support to learners in and out of training sessions.
• Display functional knowledge or the ability to quickly grasp core Data Analytics competencies, including:
• Spreadsheet Modeling & Advanced Excel
• SQL & Relational Databases
• Python or R for Data Analysis
• Fundamental Statistics & Data Storytelling

RESPONSIBILITIES

• Curriculum & Lab Assistance: Use the provided curriculum to assist the Lead Instructor in conducting technical training sessions tailored to prepare learners for entry-level Data Analyst, Business Intelligence Analyst, or Data Reporting roles.
• Learner & Code Support: Monitor and assist a class of 15–36 learners via video conferencing or within the physical classroom/lab environment. Guide learners through debugging SQL queries, fixing Python syntax, and setting up visualization dashboards.
• Study Groups & Tutoring: Form and lead targeted study groups, office hours, and 1-on-1 tutoring sessions using instructor evaluations to support learners who are struggling or falling behind.
• Lab Readiness & Troubleshooting: Assist in gathering datasets, software tools, and code notebooks for daily lectures/labs. Troubleshoot issues with lab equipment, software, virtual environments, and audio/visual tools.
• Schedule & Timekeeping: Serve as a timekeeper to assist the Lead Instructor in managing schedules (e.g., class timers, lab windows, presentation slots, breaks).
• Short-Term Coverage: Understand the daily curriculum to conduct short lessons, review sessions, or lab walkthroughs if the Lead Instructor is out of the classroom.

Administrative Responsibilities

• Grading & Assessment: Grade and review labs, coding assignments, quizzes, and capstone project deliverables.
• LMS & Platform Management: Utilize Canvas LMS to monitor learner grades, academic performance, and real-time lab submissions.
• Data Entry & Attendance: Take class attendance across platforms and maintain real-time learner data entry in software applications such as Salesforce.
• Feedback & Meetings: Review curriculum materials and report any errors to the curriculum development team. Participate in daily/weekly check-ins with the Lead Instructor, bi-weekly meetings with Management, and regular progress meetings with Career Advancement Coaches.
• 1-on-1 Learner Coaching: Meet with learners 1-on-1 to discuss grades, attendance, and individualized study plans.

Growth Responsibilities

• Continuous Upskilling: Utilize platforms such as Canvas LMS, Udemy, Coursera, and LinkedIn Learning to upskill in advanced analytics, data engineering, or machine learning tools.
• Cross-Training & Professional Development: Cross-train to support related tracks (such as IT Support, Networking, or Cyber) and occasionally deliver select lessons to prepare for future promotion opportunities.

QUALIFICATIONS

Technical & Educational Qualifications

• Educational Background: Graduate of a Per Scholas Training Program (preferred) or relevant educational/work experience in Data Analytics, Computer Science, Statistics, or Information Technology.
• Core Technical Skills:
• Proficiency or strong familiarity with SQL for database querying and data manipulation.
• Practical experience with Excel (Pivot Tables, VLOOKUP/XLOOKUP, formulas).
• Knowledge of Python (Pandas, NumPy) or R for data analysis.
• Experience constructing interactive dashboards in Tableau or Power BI.
• Bonus Qualifications (Optional):
• Recommended by a Per Scholas Instructor or Staff Member.
• Certifications in Data Analytics (e.g., Google Data Analytics, CompTIA Data+, AWS Data Certified).
• Fundamental knowledge or experience in Cybersecurity, IT Support, or Networking.
• Certifications in Cybersecurity or IT Support (e.g., CompTIA A+, Network+, Security+, CySA+) are considered a plus, though not required.

Interpersonal & Professional Characteristics

• Teaching & Communication: Excellent verbal and written communication skills with a passion for teaching and helping others learn in a patient, interactive style.
• Agility & Independence: Receptive to feedback, flexible, adaptable, and capable of working asynchronously without micromanagement.
• Mission Alignment: Ability to work in a fast-paced environment and a strong belief in the Per Scholas mission that talent exists in every community and deserves access to high-growth tech careers.

#LI-Onsite

Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life!

Holidays & PTO: Full-TimePer Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements.

Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families.

Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums.

Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company.

Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members

Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family.

Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short