Smartly

10 months ago

(Senior) Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the Product Analytics team to deliver data-driven insights across product, design, and business units. Own the analytics stack (BigQuery/dbt), drive ROI-focused roadmap, and foster an experimentation culture with hands-on analysis and coaching.

Location: Helsinki

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityRemote WorkPaid Leave

Key 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 that transform complex data into actionable insights.
•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.

Experience:SaaSProduct-led techAnalyticsData warehousing

Skills:CommunicationLeadershipStorytellingProblem-solvingTeam leadership

Languages:English

Tech Stack:AirflowFivetranDbtTableauRedashJupyterBigQuery

Company Brief

Smartly

Provides a cloud-based advertising automation platform that helps brands and agencies create, manage, and optimize scalable social and digital ad campaigns across channels with creative and measurement tools.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Helsinki, Finland

Founded: 2013

Website LinkedIn

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Smartly

10 months ago

(Senior) Manager, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Helsinki

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceEquityRemote WorkPaid Leave

Key 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 that transform complex data into actionable insights.
•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.

Experience:SaaSProduct-led techAnalyticsData warehousing

Skills:CommunicationLeadershipStorytellingProblem-solvingTeam leadership

Languages:English

Tech Stack:AirflowFivetranDbtTableauRedashJupyterBigQuery

Company Brief

Smartly

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Helsinki, Finland

Founded: 2013

Website LinkedIn