
Technical Product Analyst, 2027 Leadership Development Program, ION Group, India
Quick overview
Job description
Your Contribution
- Analyze product, customer, and business data to identify trends, root causes, risks, and opportunities.
- Define, track, and measure key product and business metrics.
- Build dashboards, reports, and scalable analytics solutions that support data-driven decision making.
- Generate actionable insights and recommendations for Product, Engineering, and business teams.
- Support the development and maintenance of reliable data assets, pipelines, and reporting capabilities.
- Assist in building and validating predictive models to support business and product objectives.
- Identify opportunities for AI-driven innovation, automation, and process optimization.
- Design and build analytical tools, automations, and workflow improvements that help teams turn data into action.
- Evaluate and leverage AI technologies, machine learning capabilities, and emerging tools to improve products and internal operations.
- Support the implementation, testing, monitoring, and continuous improvement of AI-powered solutions.
- Contribute to reducing operational complexity through scalable, technology-driven solutions.
- Partner with Product Managers and Engineers to define requirements, validate product ideas, and measure outcomes.
- Support product strategy, roadmap planning, and feature development through data-driven recommendations.
- Build a deep understanding of customer workflows, product usage patterns, and business requirements.
- Collaborate directly with customers and internal stakeholders to understand challenges, resolve issues, and support product adoption.
- Communicate insights and recommendations effectively to both technical and non-technical audiences.
- Own initiatives end-to-end, from problem identification and analysis through delivery and measurable business outcome.
Your Growth
- Product Management and End-to-End Product Delivery
- Data analytics, reporting, and visualization
- Data Engineering and modern data platforms
- AI, automation, and data-driven decision making
- Financial technology and enterprise software
- Customer-centric problem solving
- Product Strategy and Roadmap Planning
- Customer and Market Insights
- Leadership
- Client interactions, and Stakeholder Management
- Real-world business challenges faced by global institutions
- Product Analysis
- Data Analytics & Visualization
- AI &Automation
- Data Engineering
- Product Management
- Customer relationship
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