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Data Analytics Instructor Jobs (NOW HIRING)

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Data Analytics Instructor information

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How much do data analytics instructor jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analytics instructor in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

A Data Analytics Instructor or data science professional can start at any age, including 40, as success depends on skills, experience, and continuous learning. Many individuals transition into data science later in life by acquiring relevant skills such as programming, statistics, and tools like Python or R, and obtaining certifications or degrees to enhance their qualifications.

What is a Data Analytics Instructor job?

A Data Analytics Instructor teaches students the principles and practical applications of data analysis, including data collection, cleaning, visualization, and statistical modeling. They design course materials, lead lectures or workshops, and provide hands-on training using industry-standard tools like Python, SQL, Excel, and Tableau. Instructors may work at universities, bootcamps, or corporate training programs, helping learners develop the skills needed for data-driven decision-making. Strong communication skills, industry experience, and the ability to simplify complex concepts are essential for success in this role.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data quality analysts, data warehousing analysts, and data visualization analysts. Each type focuses on different aspects of data, such as interpreting business needs, ensuring data accuracy, managing data storage, or creating visual reports, often requiring proficiency in tools like Excel, SQL, and visualization software.

What are the key skills and qualifications needed to thrive in the Data Analytics Instructor position, and why are they important?

To thrive as a Data Analytics Instructor, you need a solid background in data analysis, statistics, and curriculum development, typically supported by a relevant degree and instructional experience. Familiarity with tools such as Python, R, SQL, Tableau, and experience with learning management systems or recognized analytics certifications are highly valuable. Strong communication, patience, and the ability to simplify complex concepts are crucial soft skills for effectively teaching diverse learners. These skills ensure that instructors can deliver engaging and actionable education, preparing students for real-world analytics roles.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst involves skills like critical thinking, domain knowledge, and data storytelling that are not easily replaced by AI. Therefore, while AI may augment the work, it is unlikely to fully replace data analysts in the near future.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and senior Data Analytics Managers, often earning six-figure salaries. These positions require advanced skills in statistical analysis, machine learning, and leadership, and they usually involve overseeing large teams and strategic decision-making.

What is a typical workday like for a Data Analytics Instructor?

A typical workday for a Data Analytics Instructor involves preparing and delivering lessons on data tools and techniques, supporting students through exercises and projects, and updating course materials to reflect current industry standards. Instructors often collaborate with colleagues to design engaging curriculum and may provide one-on-one guidance or feedback to learners. Administrative tasks such as grading, responding to queries, and tracking student progress are also part of the role. This balance of teaching, mentoring, and curriculum development fosters a dynamic work environment and helps ensure students are well-equipped for analytics careers.

More about Data Analytics Instructor jobs
What cities are hiring for Data Analytics Instructor jobs? Cities with the most Data Analytics Instructor job openings:
What are the most commonly searched types of Data Analytics Instructor jobs? The most popular types of Data Analytics Instructor jobs are:
What states have the most Data Analytics Instructor jobs? States with the most job openings for Data Analytics Instructor jobs include:
Infographic showing various Data Analytics Instructor job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Instructor - Power BI and Tableau (Data Analytics)

Instructor - Power BI and Tableau (Data Analytics)

Fullstack Academy

Remote

Part-time

Re-posted 6 days ago


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 Power BI and Tableau (Data Analytics) 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 industry 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
Instruction & Student Engagement
Deliver assigned lessons aligned with curriculum learning objectives and session plans.
Facilitate engaging live online instruction using instructional best practices for adult learners.
Provide subject matter expertise in Power BI and Tableau, including dashboard development and data visualization.
Teach data analytics concepts such as data cleaning, transformation, and modeling.
Incorporate tools and techniques such as SQL, Excel, and basic Python (optional) for data analysis workflows.
Guide students in building interactive dashboards, reports, and data storytelling presentations.
Connect course content to real-world industry applications and business use cases.
Encourage collaboration, critical thinking, and problem-solving within the classroom environment.
Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Mentor students on portfolio development, including end-to-end analytics projects.
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, dashboards, and capstone projects.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Assess dashboards, reports, and analytical problem-solving skills.
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.
Stay current with industry trends in data analytics and visualization tools.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Required Qualifications
You are a great candidate for this role is you have:
  • 10+ years of experience in the field of GenAI/PowerBI
  • Hands-on experience with Microsoft Power BI, including Power Query, DAX, Power BI Desktop, and Power BI Service.
  • A passion for teaching and an ability to explain complex technical concepts
  • A history of choosing a path of integrity
  • Excellent written and verbal skills

Knowledge, Skills, and Abilities
Strong expertise in Power BI and Tableau, including data modeling, DAX, and visualization best practices.
Proficiency in SQL and Excel for data manipulation and analysis.
Understanding of data warehousing concepts and ETL processes.
Ability to clearly explain complex technical topics to diverse learners.
Experience with real-world business analytics use cases and storytelling with data.
Passion for education and mentoring students entering the technology industry.
Strong communication and interpersonal skills.
Ability to work effectively in a remote teaching environment.
Demonstrated professionalism, integrity, and ethical conduct.
Work Schedule
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST
Weekend - 09:00 AM CST - 12:00 PM CST
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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