Instructor - Data Cleaning , Excel & SQL

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Description:

  • Deliver live online training sessions on Excel and SQL for data analysis.
  • Teach core Excel topics including data handling, formatting, formulas, pivot tables, data cleaning, validation, dashboards, and reporting.
  • Teach core SQL topics including database fundamentals, querying, filtering, aggregation, subqueries, views, optimization basics, and business use cases.
  • Lead hands-on exercises, labs, and project work to reinforce learning.
  • Provide individualized support to students during live sessions and scheduled office hours.
  • Mentor learners and resolve technical or conceptual questions.
  • Evaluate assignments, assessments, and mock sessions when required.
  • Monitor learner engagement, session quality, and curriculum milestone completion.
  • Collaborate with internal instructional and program teams on curriculum updates, learner feedback, and delivery planning.
  • Maintain accurate documentation of student performance, progress, and engagement, and escalate academic concerns when needed.

Requirements:

  • Bachelor’s degree in IT, Computer Science, Data Analytics, or a 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.
  • Experience with Power BI, Tableau, or other BI/visualization tools preferred.
  • Knowledge of Python or data analytics workflows preferred.
  • Relevant certifications in Excel, SQL, analytics, or business intelligence preferred.
  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment.

Benefits:

  • Pay range of $55 to $60 per hour, depending on qualifications and experience.
  • Part-time, non-exempt position with compensation for all hours worked.
  • Remote, 100% online instruction environment.
  • Flexible part-time schedule with evening and weekend cohort availability.
  • Opportunity to work in a collaborative instructional environment.
  • Inclusive and respectful workplace commitment.
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