Senior Product Analyst

POSITION SUMMARY:

The Senior Product Analyst plays a critical role in enabling product teams to make data-informed decisions by translating complex data into actionable insights. Embedded within the product organization, this role partners closely with Product Managers, Product Owners, and Decision Support to assess product performance, evaluate opportunities, and support prioritization across the product lifecycle.
The Senior Product Analyst focuses on understanding product outcomes, customer and stakeholder needs, and operational performance—helping ensure that product investments align with organizational strategy and deliver measurable value.

ACCOUNTABILITIES:

Product Analysis & Recommendations:

• Analyze product performance, usage, and outcomes to generate insights that inform product strategy, roadmap decisions, and prioritization.
• Analyze user behavior, adoption trends, performance metrics and customer feedback.
• Develop and maintain product-level metrics, dashboards, and reporting in partnership with Decision Support and analytics teams.
• Translate data into clear insights and recommendations for Product and leadership teams.
• Support hypothesis testing, opportunity sizing, and impact assessment for new and existing product initiatives.

Product Team Partnership:

• Partner closely with Product Managers and Product Owners to understand business objectives, customer problems, and desired outcomes.
• Translate business questions into analytical approaches and clearly communicate findings to both technical and non-technical audiences.
• Support trade-off discussions by providing data-backed insights on value, risk, and impact.

Decision Support Enablement:

• Collaborate with Decision Support and Market Research functions to ensure consistency in insights, metrics, and storytelling across the product portfolio.
• Contribute to product reviews, planning sessions, and governance discussions by bringing forward relevant data and insights.
• Help standardize analytical practices and tools used across product teams as the organization matures in its product model.

Delivery Outcomes & Continuous Improvement:

• Track benefit realization and adoption post-implementation.
• Identify opportunities for optimization based on performance data. Recommend improvements based on data and user feedback.
• Support regular product review cadences with performance reporting.

REQUIRED QUALIFICATIONS:

Knowledge of:

• Product analytics and performance measurement, including defining, tracking, and interpreting product level metrics and outcomes.

Data informed decision making, using quantitative and qualitative insights to evaluate options, assess impact, and guide product and business decisions.

• Translating business and product questions into analytical approaches, ensuring insights are actionable and decision oriented.
• Outcome based measurement and value assessment, supporting prioritization and investment decisions across the product lifecycle.
• Decision support and insight storytelling practices, effectively communicating findings to technical and non technical stakeholders.

Ability to:

• Ability to collaborate effectively with cross-functional partners, including product, technology, and analytics teams.
• Strong analytical thinking and problem-solving skills, with the ability to synthesize complex information into clear narratives.
• Comfort operating in ambiguity and evolving organizational models
• Think strategically, connecting data and insights to broader organizational goals, product outcomes, and long-term value.
• Communicate clearly and concisely, translating complex analytical findings into actionable insights for both technical and non-technical stakeholders.
• Collaborate and influence effectively across cross-functional teams, building strong partnerships and supporting data-informed decision making.

Education and/or Experience:

• Bachelor’s degree in analytics, business, economics, information systems, or a related field, or equivalent professional experience.
• 5-7 years experience analyzing data and translating insights into business or product recommendations.
• Experience working in or alongside a product-oriented organization.
• Familiarity with product metrics, outcome-based measurement, or portfolio-level analysis.
• Experience supporting strategic or decision-support initiatives within a matrixed organization.

PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)

• Use of artificial intelligence within research, aggregation and scenario planning.

Originally posted on Himalayas