Product Analytics Manager - Smartly - Helsinki, Finland
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Job Description
Smartly.io is seeking an experienced Product Analytics Manager to lead our analytics team in Helsinki. The role involves managing the end-to-end analytics workflow, developing scalable solutions, and fostering a data-driven culture. You will work with modern data tools like BigQuery, dbt, Tableau, and more, to deliver insights that influence product and business decisions. The position offers a hybrid work model, competitive rewards, and opportunities for professional growth.
Company Information
| Location | Active listings |
|---|---|
| Helsinki, Finland | 71 |
| Remote - Global | 6 |
| Berlin, Germany | 3 |
| London, United Kingdom | 2 |
| Uusimaa, Finland | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 26 |
| Manager | 6 |
| Product Manager | 6 |
| Human Resources Specialist | 5 |
| Data Scientist | 3 |
| Product Designer | 2 |
| Data Platform Engineer | 2 |
| Data Engineer | 2 |
| Machine Learning Engineer | 2 |
| Product Analyst | 2 |
| Intern | 2 |
| Fullstack Engineer | 2 |
| Frontend Engineer | 1 |
| Product Operations Manager | 1 |
| Head of Finance | 1 |
| Senior Fullstack Engineer | 1 |
| Head of IT | 1 |
| Senior Software Engineer | 1 |
| Director | 1 |
| Product Analytics Manager | 1 |
| Senior Backend Engineer | 1 |
| Senior QA Engineer | 1 |
| Senior Engineering Manager | 1 |
| Senior HR Business Partner | 1 |
| Customer Success Manager | 1 |
| Senior Customer Solutions Engineer | 1 |
| Enterprise Architect | 1 |
| Project Manager | 1 |
| Technical Writer | 1 |
| Engineering Manager | 1 |
| Role level | Active listings |
|---|---|
| Senior | 15 |
| Manager | 11 |
| Mid-Level | 10 |
| Intern | 2 |
| Mid-level | 1 |
Smartly appears in 83 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Helsinki, Finland, Remote - Global, and Berlin, Germany.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Lead the end-to-end product analytics workflow, from models and metrics to dashboards and experiments.
- Own and evolve the analytics platform (BigQuery, dbt) in collaboration with Data Engineering.
- Define and uphold data reliability standards.
Requirements
- 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.
Skills & Technologies
Education Level
None requiredBenefits & Perks
