(Senior) Product Data Analyst

Smartly
Helsinki
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder communication","Problem-solving","Delivery","Analytical thinking","Attention to detail"]

Build production-grade product analytics for Smartly by creating trusted dbt models in BigQuery, defining reusable metric foundations, and partnering with Product, Design, Engineering, and Data Engineering. Turn ambiguous questions into measurable outcomes through self-service data products, strong data quality ownership, and analysis of journeys, funnels, cohorts, retention, adoption, and experiments. Deliver decision-ready dashboards with well-modeled logic beneath the visuals.

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FursaFursa
Smartly
Smartly
11 hours ago

(Senior) Product Data Analyst

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build production-grade product analytics for Smartly by creating trusted dbt models in BigQuery, defining reusable metric foundations, and partnering with Product, Design, Engineering, and Data Engineering. Turn ambiguous questions into measurable outcomes through self-service data products, strong data quality ownership, and analysis of journeys, funnels, cohorts, retention, adoption, and experiments. Deliver decision-ready dashboards with well-modeled logic beneath the visuals.
Location: Helsinki
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build production-quality dbt models in BigQuery, including reusable product marts and metric foundations from source-aligned layers.
  • •Design data tables by defining grain, keys, joins, data types, null handling, history, and performance before implementation.
  • •Turn recurring questions and one-off reports into durable models, shared definitions, and self-service data products; build decision-ready dashboards when appropriate.
  • •Partner on instrumentation, event schemas, data contracts, validation, and quality monitoring; own domain data quality by tracing discrepancies, lineage, and join coverage.
  • •Analyse journeys, funnels, cohorts, retention, adoption, and experiments to recommend next steps, and drive work end to end with iterative shipping and adoption.

Key Requirements

  • •Advanced SQL with strong experience in BigQuery (or another cloud warehouse), including complex transformations, window functions, nested data, type conversion, and performance trade-offs.
  • •Strong warehouse and analytics modelling judgement (grain, cardinality, dimensional models, deduplication, historical data) with awareness of metric risks from joins and types.
  • •Hands-on dbt experience (or similar), including modular design, testing, documentation, lineage, version control, and production deployment workflows.
  • •Ability to code beyond dashboards, e.g., using Python to inspect data, automate workflows, use APIs, or build analytical tools.
  • •Product-analytics judgement across funnels, cohorts, retention, adoption, segmentation, and product-impact measurement, with clear stakeholder communication.
Experience:Digital advertisingAdtechB2B SaaS
Skills:Stakeholder communicationProblem-solvingDeliveryAnalytical thinkingAttention to detail
Languages:English
Tech Stack:SQLBigQueryDbtPythonVersion controlAPIsTableauRedash

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
WebsiteLinkedIn