Product analyst in work management

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. We're looking for a Product Analyst to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.

• Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.
• Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.
• Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.
• Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.
• Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.
• Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.
• Use AI responsibly to accelerate analytical work and improve analytical workflows.

• 2+ years of experience in product, data, business analytics, or a similar analytical role
• Strong SQL skills and experience with analytical databases; Google BigQuery is a plus
• Experience with BI tools (Looker / Tableau)
• Good understanding of statistics, experimentation, and A/B testing
• Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations
• Strong problem-solving skills and ability to connect data to customer, product, and business context
• Ability to validate data and assumptions and recognize limitations in evidence
• Ability to balance analytical depth, speed, and business needs
• Strong communication and collaboration skills
• Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.
• Upper-Intermediate or better English
• Будет плюсом: Python skills for data analysis; Experience with Amplitude; Experience with advanced analytical methods such as regression, clustering, or causal inference; Experience with product discovery or opportunity assessment; Experience building AI-enabled analytical workflows, automations, or reusable AI solutions

• Hybrid – 2 days in office
• 25 working days of paid vacation
• Sick Leave Compensation (5 Uncertified + 10 Certified Days)
• Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Life Insurance (Employees)
• Provident Fund
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
• Work Permit, Blue Card & Naturalization Support