Product Analytics Manager

Smartly.io is looking for a Product Analytics Manager to lead our Product Analytics team! Our product analytics team works with different parts of the organisation, spanning from Product Management and Design to Customer Success, Sales, Marketing and Finance. Our team develops scalable analytics solutions to questions ranging from product feature adoption to customer profitability and churn. We also work closely with our Data Engineering team to manage and develop our data assets.

We are seeking an experienced lead to guide the team and deepen Smartly’s data-driven culture. You’ll partner with stakeholders to focus on the highest-impact priorities, shape the conceptual and technical design of analytics solutions, and coach analysts to do their best work. You’ll also stay hands-on with the data and build when it matters.

At Smartly.io, analytics runs on the modern data stack. We utilise Airflow and Fivetran for data ingestion, dbt for data modelling, Tableau for productionized dashboards and Redash and Jupyter Notebooks for analyses. Our data warehouse is built on top of BigQuery. You will own much of the tech stack and be responsible for developing our technical capabilities further. In addition to the tech stack, you will manage relations with the different operational units, ensuring that we work towards common, data-derived KPI’s and share a common source of truth for those KPI’s.

As the Product Analytics Manager at Smartly.io, you will:

• Lead the end-to-end product analytics workflow, from models and metrics to dashboards and experiments, ensuring insights drive product impact.
• Own and evolve the analytics platform (BigQuery, dbt) in close collaboration with Data Engineering, focusing on reliability, scalability, and high-quality data.
• Define and uphold data reliability standards, including availability, freshness, and incident response practices.
• Set the analytics strategy and roadmap, align priorities with product outcomes, and maintain a transparent, ROI-driven backlog.
• Build a strong experimentation culture by designing tests, guiding PMs and designers, and making results accessible across the company.
• Coach and grow the team in both analytics craft (causal inference, behavioural analytics) and engineering craft (testing, cost and performance optimisation).
• Promote a data-first culture by replacing static reporting with live dashboards that provide consistent views on product adoption, revenue, and operational performance.

• Strong technical foundation in analytics, analytics engineering, and statistical analysis.
• Proven experience leading analytics teams and building a data-driven culture.
• Excellent communication and storytelling skills that transform complex data into actionable insights, influencing informed decisions.
• Hands-on experience with business and product analytics, ideally in a SaaS or product-led tech company.
• Solid understanding of data warehousing and modern data stacks.
• Knowledge of key SaaS KPIs such as retention, churn, product adoption, and unit economics.
• Ability and willingness to work from our Helsinki office three days a week

What we offer you:

• Inclusive Culture: Join a team of over 800 Smartlies representing more than 60 nationalities across 24 locations in 13 countries, we foster a culture built on trust, transparency, and open feedback.
• Global Impact: Be part of a company making a global impact, directly influencing our customers and business growth.
• Wellbeing Focus: Enjoy generous healthcare packages, mental health services, and a healthy work-life balance with paid holidays and family leave.
• Total Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and ample career development opportunities.
• Hybrid Workplace: We work in a hybrid model, balancing office and remote work, with the option to work abroad for up to 30 days.

Smartly is committed to being a great place for growth-minded individuals to thrive. Explore more in our Culture Handbook!