Senior Product Analyst

Job Description

• Minimum 5–6 years of experience as a Product Analyst, Product Data Analyst, Data Analyst, BI Analyst, or similar role, preferably in a SaaS, video, sports tech, or high-volume event-based product.
• Strong SQL skills and experience working directly with data warehouses such as Snowflake, BigQuery, Redshift, or similar.
• Hands-on experience with product analytics tools such as Mixpanel, Amplitude, GA4, or similar.
• Experience with event-based tracking, product instrumentation, event taxonomy, funnels, cohorts, retention models, and feature adoption analysis.
• Experience with BI/dashboarding tools and ability to build clear, reliable reports for Product, Marketing, Management, and other stakeholders.
• Strong understanding of product metrics, including activation, engagement, retention, conversion, feature adoption, customer-facing KPIs, and north-star metrics.
• Ability to translate ambiguous business and product questions into clear analytical frameworks, metrics, dashboards, and actionable insights.
• Experience working with Agile software development teams and collaborating with Product Owners, Business Analysts, Engineering, Marketing, and Management teams.
• Excellent communication and presentation skills in English. Ability to explain complex analytical findings to both technical and non-technical stakeholders.

Job Responsibilities

We are looking for a talented Senior Product Analyst who will take the following responsibilities:

• Own and improve product analytics across customer-facing products.
• Analyze user behavior, product usage, funnels, retention, cohorts, user flows, and feature adoption.
• Define and maintain product KPIs, success metrics, and reporting frameworks for new and existing features.
• Build and maintain dashboards, recurring reports, and ad-hoc analysis for Product, Marketing, Management, and other stakeholders.
• Work with Product Owners, Business Analysts, and Engineering teams to define tracking requirements and ensure proper product instrumentation.
• Maintain and improve event taxonomy, user properties, funnel definitions, and metric consistency.
• Validate that product events, properties, and metrics are tracked correctly, consistently, and reliably.
• Build or support data models that transform raw product events into reliable product metrics.
• Support feature and roadmap decisions with usage data, impact analysis, adoption insights, and clear recommendations.
• Identify user drop-off points, adoption issues, leading indicators, and opportunities for product improvement.
• Present insights proactively and provide narrative context, not just numbers.
• Contribute to improving data quality, documentation, analytics processes, and cross-team understanding of product metrics.

Department/Project Description

The platform combines AI-powered sports capture, automated video production, live streaming, and performance analysis tools into a single product ecosystem. It enables teams, clubs, leagues, schools, broadcasters, and sports organizations to capture and distribute games without the need for a full on-site production crew.

Using fixed or portable camera systems and computer vision algorithms, the product automatically follows the flow of play, produces broadcast-ready video, and helps generate clips, highlights, and coaching material. This allows customers to scale sports coverage across many venues and events while reducing the cost and operational complexity of traditional broadcasting.

The product portfolio includes solutions for live production, video analysis, game breakdowns, highlight creation, content distribution, and team performance review. It supports multiple sports and serves a broad range of users, from grassroots and amateur organizations to professional clubs, leagues, and media partners.

For the Product Analyst role, this creates a rich data environment with high-volume event streams, user behavior data, video usage patterns, feature adoption metrics, and customer-facing KPIs across several product areas.