Junior Growth & AI Analytics Specialist

About Us

Screen Andragogy Platforms is a technology management solutions company for the screen industries. We empower industry professionals, organizations, and educational institutions with tools and data-driven insights. Committed to innovation, we leverage advanced analytics to uncover actionable intelligence that drives success across every stage of the creative process. From analyzing market trends and audience preferences to optimizing production and distribution strategies, our research provides unparalleled depth to inform strategic decision-making.

About the Opportunity

Join Screen Andragogy Platforms as a Junior Growth & AI Analytics Specialist and contribute to shaping the future of product and service growth in storytelling, market research, and intelligent SaaS solutions across media, entertainment, and education. You will work at the intersection of product analytics, AI-driven insights, and go-to-market execution, supporting both SaaS and Agent-as-a-Service offerings.

This role is designed to transition successful candidates into a Year 2 – Associate Growth & AI Analytics Specialist position, based on performance, skill development, and completion of key learning and certification milestones.

Mandatory Policy

🛑 No direct full-time employment is offered at the outset.

✅ All selected candidates must first complete a minimum 3-6 months Sap impact Fellowship or consulting engagement.

🌍 Willingness to travel with the company for at least 1–2 years is mandatory. This ensures:

• Cultural alignment across global markets
• Real-time collaboration with clients and project stakeholders

Post successful completion of this phase, candidates may be considered for full-time roles, based strictly on:Value creation ,Strategic alignment,Contribution to the Screen Andragogy Platforms ecosystem

Important Note: Impact fellowship vs Project-Based Consulting Engagement

We follow a strict engagement structure based on the academic stage of the applicant to ensure seriousness, fairness, and real industry alignment.

Impact fellowship Eligibility (Undergraduate Only – Early Years)

Impact fellowship are offered only to undergraduate students in:

• 1st year
• 2nd year
• 3rd year

These Imapct Fellowship are designed for:

• Early exposure to AI, product development, and industry workflows
• Learning-focused participation under supervision
• Limited responsibility and structured guidance

Final-Year Undergraduate & Postgraduate Policy

For the following candidates:

• Final-year undergraduate students (4th year or equivalent)
• Postgraduate students (any year)
• Recent graduates

Project-Based Consulting Engagement (Mandatory for Final-Year & Above)

Eligible candidates from the above categories will be onboarded through a Project-Based Consulting Engagement instead of an impact fellowship

Nature of the Engagement

• You will join as a Project Consultant,
• You will work on live AI products, platforms, and internal systems
• You will be assigned clearly defined deliverables, milestones, and timelines
• Output is expected to be production-quality, not academic or experimental
• The role mirrors AI product team standards, including ownership and accountability

This model is rigorous, execution-driven, and performance-evaluated.

Why We Do Not Offer Impact fellowship at This Level

Final-year undergraduate and postgraduate candidates are expected to:

• Demonstrate professional-level capability
• Work independently with minimal supervision
• Contribute meaningful value to core products and AI workflows
• Be evaluated as potential full-time hires, not trainees

Impact fellowship do not meet these expectations and therefore are not suitable for this level.

Post successful completion of this phase, candidates may be considered for permanent full-time roles, based strictly on:Value creation ,Strategic alignment,Contribution to the Screen Andragogy Platforms ecosystem

Key Responsibilities

🔹 AI-Driven Product Growth & Market Analytics

• Assist in developing AI-powered user acquisition, retention, and monetization strategies.
• Work with AI models to analyze user behavior, engagement patterns, and feature adoption.
• Support in structuring data-driven product marketing, pricing, and go-to-market (GTM) strategies.

🔹 AI Training & Customization for Growth

• Assist in training AI models to predict user churn, optimize pricing models, and personalize recommendations.
• Learn to customize AI for product growth, A/B testing, and predictive user analytics.
• Work on AI-powered automation for customer segmentation, growth experiments, and campaign optimization.

🔹 AI & Data-Driven Business Intelligence

• Analyze product performance metrics using AI-powered business intelligence tools.
• Assist in data visualization, dashboard creation, and AI-powered trend analysis.
• Train AI models to forecast user growth, engagement, and revenue trends.

🔹 Prompt Engineering & AI-Powered Insights

• Learn how to design AI prompts for product recommendations and automated user interactions.
• Assist in refining AI-generated product suggestions, feature adoption strategies, and user surveys.
• Work on AI-driven chatbot training for automated product support and feedback collection.

🔹 Experimentation & AI-Driven Growth Hacking

• Assist in running AI-powered A/B tests, growth experiments, and funnel optimizations.
• Work on AI-generated insights for customer lifetime value (CLV) and user behavior modeling.
• Support AI-powered demand forecasting and pricing optimization models.

Required Qualifications

 Education & Certifications

• Bachelor’s or Master’s degree in Business Analytics, Data Science, AI/ML, Economics, or a related field.
• AI/ML Certifications (Google Data Analytics, OpenAI GPT Engineering, AI in Business Strategy) preferred.
• experience in AI analytics, product growth, or business intelligence is a plus.

Technical Skills

• Basic understanding of AI-powered product growth tools.
• Knowledge of AI-driven A/B testing and user behavior analytics.
• Experience or coursework in AI-powered analytics platforms (Google Analytics AI, Mixpanel, Amplitude, etc.).
• Interest in prompt engineering for AI-based user engagement and personalization.
• Willingness to learn AI agent customization for data-driven decision-making.

Industry Experience

• 0–3 years of experience in product analytics, AI-powered growth strategies, or data-driven marketing.
• Strong interest in AI-driven user engagement and predictive analytics.
• Passion for leveraging AI for business intelligence and product innovation.

Career Path

Year 1: Junior Growth & AI Analytics Specialist

• Hands-on, structured learning in SaaS product growth, market research & analytics, and AI-driven storytelling strategies
• Exposure to product growth and service growth
• Must submit 2 relevant certifications (e.g., Data Analytics, AI/ML for Business, Product Growth Strategy, Market Research Tools)
• Subject to periodic evaluation, project-based assessments, and feedback cycles

Year 2: Associate Growth & AI Analytics Specialist (Promotion Track)

• Promotion based on measurable value creation, commitment, and discipline
• Opportunity to lead research modules, contribute to client growth strategies, and manage targeted analytics deliverables
• Involvement in multi-sector projects across Entertainment, Education, and AI & Technology
• Potential travel with client project teams for live engagements and market studies

Application & Interview Process: 5 Stages

Stage 1: Cover Letter & Resume& portfolio Submission

Share your background, skills, and why you’re excited to build the future . Highlight any work related to AI, analytics, market research, Python, or growth strategy.

Stage 2: Analytics & Problem-Solving Challenge

Focus: Logical problem-solving, core statistical concepts, and data-driven decision-making.

You may be tested on dataset interpretation, market analysis, and insight generation.

Stage 3: Growth Strategy Case Study

Design a growth experiment or campaign for a hypothetical client (or provided dataset).

Include:

• Performance metrics (KPIs & measurable goals)
• Testing methodology (A/B tests, multivariate tests, cohort analysis, etc.)
• Optimization roadmap (iterations, scaling, and retention strategy)

Stage 4: Strategic Consulting Project

Work on a practical consulting scenario that involves analyzing client objectives, identifying opportunities, and delivering a tailored AI + market research solution.

Emphasis: Business impact, data-driven insights, and domain relevance.

Stage 5: Certification Verification & Onboarding Eligibility

Before onboarding, candidates must submit 2 valid certifications (e.g., in Python, ML, AI, Growth Marketing, or Data Analytics) within 15 to 20 days of selection.

Only after successful verification of these certifications will a formal joining letter be issued.

This ensures a baseline of technical readiness and commitment.

How to Apply:

Submit your resume, cover letter, and portfolio (case studies, dashboards, data visualizations, reports, GitHub repositories, or other analytical projects) along with any relevant experience in AI, growth strategy, market research, analytics, Python, or data visualization through LinkedIn. We’re excited to see how your skills in growth experimentation, AI-driven insights, statistical analysis, data storytelling, and industry knowledge can contribute to shaping the future of the screen industries!