Instructor - Data Cleaning , Excel & SQL

About Us

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.

Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.

Position Overview

The Part-Time Instructor for Excel & SQL for Data Analysis plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world business and analytics applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.

Key Responsibilities

Deliver live online training sessions covering Excel and SQL concepts.

Cover core topics including:

Excel:

• Data handling and formatting
• Functions and formulas (lookup, logical, statistical, etc.)
• Pivot Tables and Pivot Charts
• Data cleaning and validation
• Dashboard creation and reporting
• Practical business reporting workflows

SQL:

• Database fundamentals
• Writing queries (SELECT, JOIN, GROUP BY, etc.)
• Data filtering and aggregation
• Subqueries and views
• Query optimization basics
• Practical business use cases and case studies

Conduct hands-on exercises and guide learners through project work.

Provide hands-on support for assignments, labs, and activities.

Mentor learners and resolve technical or conceptual queries.

Evaluate assignments, assessments, or mock sessions when required.

Ensure timely completion of curriculum and learning milestones.

Maintain session quality metrics and learner engagement.

Collaborate with internal teams on curriculum updates, learner feedback, and delivery planning.

Required Qualifications

• Bachelor’s degree in IT, Computer Science, Data Analytics, or related field
• Strong hands-on experience with Advanced Excel and SQL
• Industry experience in data analysis, reporting, or business intelligence roles
• Prior experience delivering online or classroom training sessions preferred
• Excellent communication, facilitation, and presentation skills
• Ability to explain analytical concepts clearly to learners with varied backgrounds

Preferred Skills

• Experience with Power BI, Tableau, or other BI/visualization tools
• Knowledge of Python or data analytics workflows
• Relevant certifications in Excel, SQL, analytics, or business intelligence
• Experience creating dashboards and business reports
• Familiarity with real-world data analysis use cases

Key Competencies

• Strong instructional and facilitation skills
• Ability to simplify technical concepts clearly
• Professional virtual presence and delivery
• Reliability and schedule discipline
• Strong learner engagement and mentoring mindset
• Problem-solving and analytical thinking skills

Student Support & Mentorship

Provide individualized student support during live sessions and scheduled office hours.

Maintain regular communication with students regarding progress, expectations, and milestones.

Respond to student and staff communications in a timely and professional manner.

Provide clear, constructive, and timely feedback on assignments and assessments.

Performance Monitoring

Evaluate student progress based on course deliverables and established grading rubrics.

Maintain accurate documentation of student performance and engagement.

Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.

Support performance improvement plans when necessary.

Collaboration & Professional Conduct

Adhere to institutional policies and instructional team standards.

Foster an inclusive, respectful, and professional learning environment.

Serve as a role model and mentor for students.

Collaborate with instructional staff and program teams to improve the student learning experience.

Represent the organization professionally when interacting with students, staff, and external stakeholders.

Work Schedule

Part-Time instructors typically work 10–15 hours per week depending on cohort schedules.

The total weekly part-time commitment is expected to be 8–12 hours.

Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)

Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)

Flexibility for evening availability is required.

Compensation

The anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience.

This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.

Equal Employment Opportunity

We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Work Authorization

Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

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