Senior Product Analyst

We are seeking an experienced Product Analyst to join our team!

The ideal candidate will have a strong background in analyzing product performance, market trends, and customer behavior, with an advantage of working with AI and especially with Large Language Models (LLMs).

The role involves gathering and interpreting data to drive strategic product decisions and improve overall product performance.

The Product Analyst will collaborate closely with cross-functional teams to identify opportunities for product enhancements and optimizations.

Responsibilities:

1. Conduct in-depth analysis of product performance metrics, including, usage, engagement, and customer feedback.
2. Utilize data visualization and reporting tools to communicate insights effectively to stakeholders.
3. Identify trends and patterns in AI analytics to inform product Roadmap decisions and prioritize features and enhancements.
4. Collaborate with product managers and AI specialists to interpret AI analytics and derive actionable recommendations for product improvements.
5. Monitor market trends and competitor activities to identify potential opportunities and threats.
6. Develop and maintain dashboards and reports to track key product metrics and KPIs.
7. Conduct A/B tests and experiments to evaluate the impact of product changes and optimizations.
8. Provide regular updates and presentations to senior management on product performance and strategy.
9. Continuously evaluate and improve analytical methodologies and processes to enhance efficiency and accuracy.

Requirements:

1. Bachelor's degree in Business Administration, Computer Science, Statistics, Economics, or related field. Master's degree preferred.
2. Proven experience as a Product Analyst or similar role, with a minimum of 5 years in a fast-paced environment.
3. Strong analytical skills with proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, or similar.
4. Experience in analyzing AI-generated analytics to derive insights and drive product decisions.
5. Deep understanding of product lifecycle management and product development processes.
6. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
7. Solid understanding of statistical concepts and methodologies, such as regression analysis, hypothesis testing, and segmentation.
8. Experience working with cross-functional teams in an Agile environment.
9. Ability to work independently and manage multiple priorities in a dynamic environment.
10. Strong attention to detail and a commitment to delivering high-quality work.
11. Familiarity with e-commerce, SaaS, or mobile app products is a plus.