Mid-Level Product Analyst

About the Role

Mid-level Product Analyst role focused on product analytics: understanding user behavior, improving funnels and experiences, testing hypotheses, and turning evidence into product decisions. The role involves close collaboration with product managers, engineering, design, and business teams in a 100% remote work model

Responsibilities

• Act as an analytics partner to Product, Design, User Research, Engineering, Marketing, Operations, and Finance, helping leaders solve complex problems and guide product and technology strategy.
• Analyze all stages of the product and website funnel, identify friction points and opportunities, and turn results into a prioritized roadmap of improvements.
• Work with product managers and engineers to size opportunities, define success metrics, and recommend changes to the product experience.
• Design, implement, and review experiments, including A/B tests and multi-armed bandits; measure impacts and identify opportunities for iteration and optimization.
• Combine data analysis, testing, and statistical models to understand customer behavior, support decisions, and generate measurable impact.
• Investigate causes of changes in business performance, with a focus on key metrics and organizational goals.
• Work with imperfect data and collaborate with the platform team to improve data quality and governance; use AI to increase analytical productivity.
• Share domain knowledge, mentor colleagues, and raise the technical and analytical quality of the team.

Requirements

• At least 3 years of relevant experience in quantitative or technical analysis, preferably in product analytics or e-commerce.
• Strong SQL for data manipulation and analysis.
• Statistical modeling, quantitative analysis, and experiment design, including A/B testing.
• Website analysis, product funnel, customer behavior, and success metrics.
• Knowledge of modern data exploration and visualization tools, such as Snowflake, Tableau, and Sigma.
• English for daily professional communication: understand requirements and explain the work directly to US-based counterparts.

Preferred Qualifications

• Experience in product analytics or e-commerce.
• Python for statistical modeling (preferred, not required).
• Experience with multi-armed bandit testing and applying AI to accelerate analyses.

Behavioral Competencies

An autonomous, organized, and collaborative person, able to handle ambiguity and imperfect data. Curious to investigate causes, pragmatic in prioritizing opportunities, accountable for the impact of recommendations, and willing to share knowledge and mentor colleagues.

• Independently solve ambiguous, high-impact problems; turn analytical findings into priorities and product decisions.
• Design and interpret experiments, define success metrics, and investigate changes in business indicators.
• Communicate insights, limitations, and recommendations clearly to different audiences; present results to leadership.
• Collaborate with Product, Engineering, Design, and other teams, manage multiple demands, and present your own work in English on a daily basis.

Work Model and Location

100% remote role, with work permitted from any location within the GMT 0 to GMT-6 time zone range. The contract is under a corporate entity (PJ) arrangement.