Fullstack Academy
Higher Education
Instructor-DataCleaning,Excel&SQL
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Instructor - Data Cleaning, Excel & SQL at Fullstack Academy. Skills: Excel, SQL, Data Analysis, Instructional Skills. Deliver live online training sessions. Facilitate curriculum content”
What You'll Achieve.
Ensure timely completion of curriculum; Ensure timely completion of learning milestones; Maintain session quality metrics; Maintain learner engagement
Industry & Context.
Problem-solving skills; Analytical thinking skills
Flexibility for evening availability is required, Applicants must be legally authorized to work in the United States
What They're Looking For.
Must Have
Bachelor's degree in IT, Computer Science, Data Analytics, or related field, hands-on experience with Advanced Excel and SQL, Industry experience in data analysis, reporting, or business intelligence roles, Excellent communication, facilitation, and presentation skills, Ability to explain analytical concepts clearly to learners with varied backgrounds
Nice to Have
Prior experience delivering online or classroom training sessions, 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
What You'll Do.
Deliver live online training sessions
Facilitate curriculum content
Support student learning
Connect technical concepts to applications
Teach live online sessions
Conduct hands-on exercises
Guide learners through project work
Provide hands-on support
Resolve technical or conceptual queries
Ensure timely completion
Maintain session quality metrics
Maintain learner engagement
Provide individualized student support
Maintain regular communication
Respond to communications
Provide feedback on assignments
Evaluate student progress
Maintain documentation
Identify and escalate concerns
Support performance improvement plans
How You'll Work.
Team & Collaboration
Collaborate with internal teams on curriculum updates; Collaborate with instructional staff and program teams
Communication Scope
Excellent communication; Facilitation skills; Presentation skills; Ability to explain analytical concepts clearly; Professional virtual presence; Reliability; Schedule discipline; Learner engagement; Mentoring mindset; Problem-solving skills; Analytical thinking skills
Full Job Description
**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 basic
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