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 Responsibilities

1. Product Strategy & Architecture

• Translate 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 Transformation

• Identify 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 Design

• Support 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 Optimization

• Design 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 Exploration

• Utilize 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 & Communication

• Develop 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 & Preparation

• Clean, 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 Support

• Provide 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 Awareness

• Stay 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 Skills

• Strong 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 Competencies

• Strategic 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.