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Senior Product Analyst
Arcadis
Global design, engineering and consultancy firm delivering intelligence‑driven sustainable solutions for natural & built assets.
Lead product analytics for B2B digital asset platform, defining OKRs/KPIs and delivering actionable insights
Act as a thought partner to the Data Director in shaping the long-term analytics strategy and mentoring future team members as the function grows.
Establish and track OKRs, KPIs, and success metrics covering customer experience (cost to serve, feature adoption, churn risk, implementation success), product health (time to release, bug impact score, backlog velocity), and sales effectiveness.
Drive the setup and continuous improvement of analytics tooling (e.g., PostHog, Pendo, Microsoft Fabric), ensuring scalability, governance, and alignment with enterprise data standards.
Lead the creation of customer health scoring models and dashboards to proactively identify churn risks, upsell opportunities, and implementation success.
Build the foundation for product analytics as a discipline within the team, creating reusable frameworks, best practices, and scalable processes for future hires.
Partner with product managers, designers, engineers, and sales to generate actionable insights that influence product strategy, roadmap prioritization, and go-to-market decisions.
Define and implement the product analytics strategy for EDA, a B2B Digital Product that supports clients in taking asset investment plans, including instrumentation, data collection, and insights generation across the customer and product lifecycle.
Contribute to incident analysis and continuous optimization by monitoring adoption trends, release outcomes, and the impact of new features.
Translate data into actionable insights for senior leadership, providing recommendations backed by quantitative evidence and storytelling.
Support and coach future junior product analysts, helping them develop their skills and become the best product analysts possible.
What you bring
sql
power bi
posthog
product analytics
stakeholder management
python
Familiarity with customer success metrics, sales analytics, and experimentation frameworks.
Experience working closely with product, engineering, and sales teams, with the ability to balance detail-oriented analysis and high-level storytelling.
7+ years of experience in product analytics, business intelligence, or digital product analysis, preferably in B2B SaaS context
Strong proficiency with analytics platforms (e.g., PostHog, Pendo, Amplitude, Mixpanel) and enterprise data platforms (ideally Microsoft Fabric, OneLake and Power BI or comparable modern data stacks).
Strong communication and stakeholder management skills, with the ability to operate effectively in a global environment.
Demonstrated ability to turn complex data into clear, actionable insights that influence strategic decisions.
Excellent proficiency in English, both written and spoken.
Solid SQL skills and experience in data wrangling, visualisation, and dashboarding (in Power BI); Python or R skills are a plus.
Proven expertise in defining and measuring product OKRs/KPIs, with hands-on experience in areas such as churn modelling, feature adoption, cost-to-serve, and product efficiency.
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