Product Analytics Lead
Visma
Job Overview
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Job Description
Product Analytics Lead at Visma
As Product Analytics Lead, you'll play a key role in developing the product analytics maturity across Visma Group. You'll help teams grow their ability to understand users, measure outcomes, and use analytics and AI to make faster, evidence-based decisions. You'll coach, enable, and co-create: designing scalable frameworks, running engaging workshops, and helping teams turn data into better product decisions.
Role Overview
You will serve as the main point of contact for product teams seeking to improve how they track, measure, and learn from their products. Your goal is to make sure that product usage and feedback data isn't just being collected, but truly understood and applied by teams in order to uncover new product opportunities, validate ideas, and accelerate product improvement. In this role, your mission is twofold: to raise product analytics maturity across Visma and to drive adoption of our existing offerings.
Day-to-day Responsibilities
- Onboard new product teams to our product usage platform, guiding them through implementation and event tracking.
- Coach teams to improve tracking practices, metric definitions, and analytical methods.
- Build and maintain playbooks and scalable workshop formats to strengthen analytics maturity across teams.
- Create clear communication around product analytics and AI use cases to inspire adoption and best practices.
- Track analytics maturity across the Visma Group and identify new development opportunities.
- Experiment with new analytics or AI techniques that improve decision-making efficiency.
What Makes You a Great Fit
- Have a strong understanding of product analytics, from event tracking to metric frameworks and dashboards.
- Have hands-on experience with data and analytics tools such as Google BigQuery, SQL and Looker Studio, and an eagerness to explore new technologies as our stack evolves.
- Are skilled at coaching and turning complex data concepts into clear, actionable guidance.
- Enjoy creating structured materials that help teams work smarter at scale.
- Communicate effectively and build trust with both technical and non-technical teams.
- Thrive at the intersection of product, engineering and data professionals.
- Understand how AI can deepen analytics and decision-making in product development, with practical experience or curiosity about relevant tools (for example, GPT-based assistants, LangChain, or AI-powered analytics platforms).
Why Join Visma's Team?
- Make a difference – Your work will directly impact how product teams across 190+ Visma companies make decisions, ultimately shaping products used by millions.
- Grow with purpose – We support continuous learning and exploration, especially in emerging areas like AI-driven analytics.
- Enjoy flexibility and trust – We support remote work and prioritize autonomy, providing the freedom you need to lead effectively.
- Be part of a community – You’ll be at the heart of our vast network of product professionals across Visma, sharing ideas and driving the data culture forward.
Next Steps & Application Process
If you are interested in learning more about the role, the team, or have any questions, reach out to the hiring manager, Frida Värnlund, Head of Product Analytics. We have made the application process easy and hope you will share your CV with us so we can get to know you. Once you have submitted your application you will get an instant response confirming we have received your application. Once we have evaluated your application you will hear from us again.
Key skills/competency
- Product Analytics
- Data-Driven Decision Making
- AI Integration
- Event Tracking
- Metric Definition
- SQL
- Google BigQuery
- Looker Studio
- Coaching & Mentoring
- Data Visualization
How to Get Hired at Visma
- Research Visma's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Customize your resume: Highlight experience in product analytics, coaching, and tools like SQL, BigQuery, Looker Studio, and AI applications.
- Showcase analytical impact: Prepare examples demonstrating how your insights led to product improvements and evidence-based decisions.
- Emphasize collaboration skills: Visma values cross-functional engagement; be ready to discuss working with product, engineering, and data teams.
- Demonstrate AI curiosity: Be prepared to discuss your practical experience or interest in AI's role in product analytics.
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