Product Strategy Analyst

The Product Strategy Analyst plays a dual role: driving product strategy and transformation while maintaining a strong foundation in data analysis and insights. This role connects analytics, product architecture, AI enablement, system integrations, and user experience design — ensuring product decisions are both data-driven and strategically aligned with business goals and user needs.Key Responsibilities1. Product Strategy & ArchitectureTranslate data insights into actionable product strategies and roadmaps.Contribute to the design of scalable product architecture aligned with user and business needs.Support feature prioritization by evaluating business value, user impact, and long-term product goals.Act as a bridge between analytics, UX, and product management to ensure holistic product evolution.2. AI Enablement & Product TransformationIdentify opportunities to embed AI/ML across product workflows, personalization, and decision-making.Collaborate with engineering and data science teams to design and test AI-enabled product features.Guide digital transformation initiatives, using analytics and user insights to validate new concepts and ensure market relevance.3. Integrations & System DesignSupport design, analysis, and execution of product integrations with third-party platforms and systems (e.g., APIs, payments, CRMs).Map and document integration workflows, ensuring seamless data flow and interoperability.Evaluate integration performance and recommend improvements to enhance product value and customer experience.4. User Journey & Experience OptimizationDesign and analyze user journeys, identifying friction points and optimizing end-to-end experiences.Partner with UX/UI teams to translate insights into intuitive, data-informed product flows.Continuously monitor user satisfaction and engagement, feeding insights into design and strategy discussions.5. Data Analysis and ExplorationUtilize advanced analytical tools and techniques to explore large datasets, uncovering patterns, trends, and business drivers.Provide actionable insights that inform both strategic decisions and day-to-day product improvements.Perform deep-dive analysis to uncover user behaviors, risks, and opportunities.6. Dashboards, Reporting & CommunicationDevelop dynamic dashboards and reports using BI tools (Power BI, Tableau, Excel) to communicate insights effectively.Deliver clear and compelling presentations to stakeholders, making complex data accessible for both technical and non-technical audiences.Customize reports to meet the needs of leadership, product, design, and business teams.7. Data Quality, Integrity & PreparationClean, transform, and prepare raw datasets for advanced analysis, ensuring accuracy and reliability.Address missing values, outliers, and inconsistencies to maintain high standards of data quality.Uphold internal standards and best practices for data governance and compliance.8. Recommendations & Strategic Decision SupportProvide clear, data-backed recommendations to senior leadership, product managers, and design teams.Collaborate across business units to propose optimizations that improve performance, engagement, and outcomes.Define and track KPIs, ensuring continuous improvement through experimentation and iteration.9. Continuous Learning & Industry AwarenessStay updated with industry trends, analytics best practices, and emerging technologies (AI, automation, integrations).Incorporate learnings into product strategy and analysis to drive innovation and competitive advantage.Desirable SkillsStrong knowledge of business intelligence, data warehousing, and product architecture.Familiarity with AI/ML concepts and their application in digital products.Experience with APIs, third-party integrations, and platform interoperability.Proficiency in SQL, Excel, Power BI, Tableau (or equivalent tools).Understanding of UX design principles, user journey mapping, and product discovery methods.Strong communication skills to bridge technical analysis and product storytelling.Key CompetenciesStrategic Thinking: Aligning data insights with product roadmaps and long-term goals.Analytical Rigor: Deep-diving into complex data to uncover trends, drivers, and risks.Problem-Solving: Proactively identifying issues and providing data-driven solutions.Innovation Orientation: Spotting opportunities for AI, automation, and transformation.User-Centric Mindset: Designing product experiences informed by both empathy and analytics.Collaboration: Working across analytics, product, engineering, and design teams to drive holistic outcomes.Business Acumen: Understanding how insights support broader business objectives and market positioning.Detail Orientation: Ensuring accuracy and quality in data preparation, analysis, and reporting.