Product Analyst

About the Role

Wrike is seeking a Product Analyst to drive data-informed product decisions for their work management platform. You will partner with Product, Design, Engineering, and UXR teams throughout the product development lifecycle to understand customer behavior, identify opportunities, and measure the impact of product initiatives.

Key Responsibilities

• Explore customer behavior and product usage to identify opportunities, investigate root causes, and deliver actionable insights

• Estimate potential impact of product initiatives, define success metrics, and measure whether released changes achieve expected outcomes

• Design and analyze experiments and quantitative research, communicating results clearly with appropriate confidence levels

• Investigate adoption, engagement, and conversion patterns to explain why changes matter and recommend next steps

• Create dashboards, reusable analyses, and documentation to help teams use data more effectively at scale

• Bring analytical rigor to product discussions, challenge assumptions, and support evidence-based decision-making

• Use AI tools responsibly to accelerate analytical workflows and improve productivity

Requirements

• 2+ years of experience in product, data, business analytics, or similar analytical role

• Strong SQL skills and experience with analytical databases (Google BigQuery preferred)

• Proficiency with BI tools such as Looker or Tableau

• Solid understanding of statistics, experimentation, and A/B testing

• Ability to independently drive analytical projects from initial questions through final recommendations

• Strong problem-solving skills and ability to connect data to customer and business context

• Ability to validate data, recognize limitations in evidence, and balance analytical depth with business needs

• Excellent communication and collaboration skills

• Upper-intermediate or higher English proficiency

Standout Qualifications

Python for data analysis, Amplitude experience, advanced analytical methods (regression, clustering, causal inference), product discovery experience, and building AI-enabled analytical workflows are highly valued.