Part-time Experts - Data Analytics (B2B, Nebius Academy)

TripleTen • Boston, MA

2h • $40 - $150 • Remote

About The Position

Nebius Academy is seeking experienced Data Analysts, Data Scientists, and Analytics Consultants to join their talent pool for ongoing roles as Instructors, Authors, and Subject Matter Experts in their Data Analytics educational programs. These programs are designed for B2B audiences and cover the full analytics workflow, from Python fundamentals and statistical reasoning to data wrangling, visualization, and communicating insights to non-technical stakeholders, all applied to real business problems. The ideal candidate not only possesses deep technical knowledge but also actively applies data analytics in real-world projects and can translate complex concepts into practical, teachable content. The roles are part-time, requiring approximately 10-15 hours per week, and offer remote cooperation with a flexible schedule.

Requirements

• Strong hands-on expertise in data analytics, statistical analysis, or analytics consulting — with a track record of driving business decisions through data.
• Ability to evaluate real-world analytics tools, methodologies, and workflows — and distinguish practical approaches from hype.
• Experience structuring complex analytical knowledge into competency maps, frameworks, skill decompositions, or curriculum logic.
• Ability to review technical learning content critically and provide clear, structured feedback to authors and internal stakeholders.
• Seniority level that allows autonomous work after onboarding, with strong ownership and minimal supervision.
• Strong communication skills and ability to explain complex analytical concepts clearly to mixed stakeholders.
• Availability to collaborate within European time zones.
• Fluent English (written and spoken); Russian or Spanish is a strong plus.
• 3–6 years of professional experience in data analysis, data science, or analytics consulting, with a strong focus on statistical reasoning, data wrangling, or business-oriented data storytelling.
• Solid knowledge of Python and core analytics stack: Pandas, NumPy, Matplotlib/Seaborn, and familiarity with statistical analysis libraries.
• Hands-on experience extracting and communicating business insights from real-world datasets — with concrete cases and measurable impact.
• Proven track record in knowledge sharing, mentoring, analytics advocacy, or public communication of data findings.
• Strong desire to share knowledge and explain complex concepts in a clear, comprehensible way.
• Ability to work independently and take ownership of a content area.
• Strong attention to detail.
• Availability to dedicate approximately 10 hours per week to collaboration.
• 1–3 years of experience in data analysis or analytics consulting, with hands-on practice in Python-based data work, statistical analysis, and data visualization.
• Solid knowledge of core analytics stack: Pandas, NumPy, Matplotlib/Seaborn, and basic statistical methods.
• Hands-on experience working with real-world datasets and translating analytical findings into business context.
• Ability to translate analytical concepts into actionable, engaging learning experiences for professional audiences.
• Confident, collaborative, and audience-oriented facilitation style.
• Background in mentoring, tutoring, or peer knowledge sharing is a strong plus.
• Strong preparation habits and time management; able to commit 10–15 hours per week.

Nice To Haves

• Russian or Spanish language skills.
• Experience with business intelligence tools.
• Experience with data visualization libraries (Matplotlib, Seaborn, Plotly).
• Experience with data cleaning and transformation pipelines.
• Leadership and data strategy experience (for Senior level).
• Experience working across business functions and speaking credibly to data-driven decision making at the organizational level (for Senior level).

Responsibilities

• Lead live, hands-on training sessions for data practitioners and business professionals, helping them apply analytical concepts and tools to real-world business problems.
• Conduct live, interactive training sessions and workshops.
• Prepare practical workshop scenarios and training materials in collaboration with our Instructional Designer.
• Develop reusable materials: dataset-based exercises, analysis walkthroughs, challenge tasks, and reference guides.
• Work with the curriculum team to ensure alignment between asynchronous and live content.
• Communicate with students during Q&A sessions.
• Review and incorporate learner feedback to continuously improve session design.
• Create the core educational content for our Data Analytics courses — from structure and learning objectives to lessons, assessments, and final projects.
• Collaborate to define the course structure and learning objectives for each module.
• Create clear, concise, and comprehensive content: lessons, manuals, guides, session outlines, and assessments.
• Prepare content in multiple formats: text, draft slides, and screencasts.
• Participate as a speaker in learning videos.
• Design the final project for the course.
• Work iteratively with instructional designers to improve content quality.
• Ensure all content meets industry standards and aligns with course objectives.
• Contribute to content updates based on student feedback analysis.
• Shape the strategic direction of our Data Analytics curriculum, ensuring our programs reflect real business needs and current industry practice in data analysis and analytics consulting.
• Define topic priorities for Data Analytics learning programs targeting data analysts, analytics consultants, and adjacent business-facing roles.
• Decompose data analytics skills into competency maps, frameworks, mastery frameworks, and learning roadmaps.
• Review course structures and content for technical accuracy, practical relevance, and alignment with learning outcomes.
• Act as an internal authority for the Curriculum team — translating market needs and analytics trends into program strategy.
• Support the selection and evaluation of external authors and experts.
• Monitor emerging analytics tools, frameworks, and workflows; convert insights into recommendations for new or updated programs.

Benefits

• Competitive hourly rate ($40-$150 USD, depending on experience and format of collaboration).
• Opportunity to create impactful content while maintaining your primary job.
• Remote cooperation with a flexible schedule.
• Cross-cultural experience with an international team.
• Meaningful impact by sharing knowledge and helping professionals advance their skills.
• Participation in innovative projects shaping the future of programming education and AI adoption.
• Professional growth through feedback and skill development.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: No Education Listed