Upright Education

Data Analytics Bootcamp Instructor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Bootcamp Instructor, offering a part-time contract from 11/17/25 to 3/19/26, with a pay rate of $2,000/month. Key skills include Python, SQL, and Tableau; teaching experience preferred. Remote work location.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
95
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πŸ—“οΈ - Date
November 6, 2025
πŸ•’ - Duration
3 to 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Remote
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Analysis #Tableau #Pandas #Python #Visualization
Role description
Company Overview Upright is the leading workforce training platform used by colleges, universities, and companies to upskill and reskill workers into high-paying digital careers. Our mission is to establish a network of organizations that collectively serve as the foremost change agent in advancing workforce prosperity. Why Work at Upright? A mission-driven organization dedicated to making a difference. Work alongside a team of insanely talented professionals. Backed by the biggest names in the industry. Job Description We are seeking a dynamic and experienced Data Analytics Bootcamp Instructor to join our dedicated team for our November EST cohort. As an Instructor, you will play a pivotal role in guiding and instructing learners through our comprehensive bootcamp curriculum. You will facilitate engaging and interactive sessions, review lessons, lead workshops, and inspire participants to thrive in their data analytics journey. Responsibilities: Conduct engaging and interactive classes on Mondays and Thursdays from 6:00 PM to 9:00 PM EST. Conduct an optional office hours session each Wednesday from 6:00 PM to 9:00 PM EST. This cohort starts on 11/17/25, and will run until 3/19/26. Review and facilitate live lectures on Mondays and Thursday's, helping learners reinforce their understanding of the curriculum. No classes during the week of Thanksgiving, Christmas, NYE or New Years Day. Lead collaborative and hands-on style exercises and demonstrations, guiding learners through real-world data projects, practice problems, and analysis challenges. Foster a supportive and inclusive learning environment that encourages critical thinking, problem-solving, and continuous improvement. Provide personalized feedback and guidance to learners on their data projects, analysis techniques, and assignments. Stay up-to-date with the latest data analytics tools, techniques, and technologies to deliver high-quality instruction. Instruct and support learners in their career development, helping them prepare for success in the data analytics field. To be clear, you are NOT responsible for connecting learners to jobs, utilizing your professional networks, or providing leads for which you do not feel comfortable. Our learners succeed because they are prepared, aware, and realistic. This is not a β€œpay to play” situation. We have an amazing career services team and welcome your input to improve our process! Qualifications: Proven experience in data analytics (4-5 years minimum), with a strong portfolio showcasing data analysis projects. Proficiency in data analytics tools such as Python, SQL, Excel, Tableau, Pandas and more. Excellent communication and presentation skills, with the ability to explain complex data concepts in a clear and accessible manner. Knowledge of data analysis methodologies, statistical techniques, and data visualization best practices. Ability to create an engaging and motivating learning environment that promotes active participation and collaboration. Strong organizational skills and the ability to manage multiple responsibilities effectively. A passion for education, a growth mindset, and a commitment to empowering learners. Job Types: Part-time, Contract Pay: $2,000.00 per month Expected hours: 10 – 15 per week Benefits: Professional development assistance Application Question(s): Are you available to teach live sessions on Monday and Thursday nights from 6-9PM EST, as well as an office hours session on Wednesdays nights for the duration of this cohort? Experience: Teaching: 1 year (Preferred) Work Location: Remote