Instructor Data Analyst & Curriculum Development (Remote)

Deskripsi pekerjaan Instructor Data Analyst & Curriculum Development (Remote) Refstoree

Hacktiv8 is a technology education company that transforms beginners into qualified digital talents through intensive bootcamp programs in Fullstack Development, Data Science, Data Analytics, Golang, and Performance Marketing.

We are looking for a Data Analytics Instructor to teach our CODA bootcamp while contributing to the development and continuous improvement of our curriculum and learning materials.

Job Description

• Develop and continuously improve curriculum and teaching materials covering Data Analytics, SQL, Data Visualization, and Business Analytics.
• Create daily teaching materials, exercises, examples, case studies, and supplementary learning resources.
• Research current industry trends, tools, qualifications, and competencies required for Data Analyst roles.
• Design practical assignments and projects based on real-world data analytics and business problems, including clear assessment rubrics.
• Deliver engaging lessons following Hacktiv8 teaching standards and learning outcomes.
• Guide students in developing analytical thinking and translating business questions into data-driven insights and recommendations.
• Assist students in troubleshooting SQL queries, Python code, data analysis workflows, and visualization-related issues.
• Provide clear, constructive, and actionable feedback on student assignments and projects.
• Conduct 1-on-1 mentoring or evaluation sessions for students who require additional support.
• Provide supplementary materials and practical examples to strengthen student understanding.
• Support alumni with data analytics-related challenges when needed.
• Recommend relevant tools, technologies, and learning approaches to improve student learning effectiveness.
• Collaborate with instructors, SMEs, curriculum, academic operations, and other cross-functional teams to continuously improve curriculum quality and student experience.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Technology, Data Science, or a related field.
• Minimum 3 years of professional experience in Data Analytics, Business Intelligence, or a related data-focused role.
• Experience in fintech, telecommunications, banking, e-commerce, logistics, or other data-driven industries is a plus.
• Experience developing learning materials or teaching in bootcamps, universities, training institutions, or other educational settings is preferred.
• Strong proficiency in SQL, including joins, aggregation, subqueries, CTEs, and window functions.
• Hands-on experience using Python for data analysis, particularly pandas and NumPy.
• Strong understanding of data cleaning and preparation, including missing values, duplicates, outliers, transformation, and data validation.
• Strong understanding of Exploratory Data Analysis (EDA), including identifying patterns, trends, relationships, and anomalies.
• Strong understanding of statistics and analytical concepts, including descriptive statistics, probability fundamentals, correlation, hypothesis testing, and interpretation of analytical results.
• Experience with data visualization and dashboarding tools such as Power BI, Tableau, Looker Studio, Matplotlib, or Seaborn.
• Familiarity with data storytelling and communicating insights to technical and non-technical audiences.
• Understanding of data quality, data preparation, and basic ETL/data pipeline concepts.
• Familiarity with modern data tools, workflows, and industry best practices.
• Experience with Git/GitHub, command-line tools, and basic development workflows is preferred.
• Experience with cloud-based data platforms such as Google Cloud, AWS, or Azure is a plus.
• Ability to design and deliver engaging lessons, hands-on exercises, case studies, and data analytics projects.
• Ability to manage multiple curriculum development, content creation, and teaching responsibilities.
• Collaborative mindset and ability to work effectively with instructors, SMEs, curriculum, academic operations, and cross-functional teams.
• Experience mentoring students or professionals in Data Analytics, SQL, Python, Business Intelligence, or related fields is preferred.
• Employment Details
• 📍 Location: Online
• 📅 Working Days: Monday – Friday
• 🕖 Teaching Hours: 19:00 – 22:00 WIB
• 💼 Employment Type: Part-time Contract