Senior Product Data Analyst (Adtech)

TL;DR

Senior Product Data Analyst (Adtech): Building production-grade data models and product analytics foundations for an AI-powered advertising platform with an accent on dbt, BigQuery, metric design, and data quality. Focus on analyzing funnels, cohorts, retention, adoption, experiments, and commercial outcomes while turning ambiguous product questions into reliable, self-service data products.

Location: Helsinki, Finland; hybrid work with regular in-person collaboration

Company

hirify.global is an AI-powered advertising technology company providing an integrated platform for creative, media, and intelligence workflows for global brands.

What you will do

• Build production-quality dbt models in BigQuery, including reusable product marts and metric foundations.
• Design well-structured tables and maintain clean, tested, documented code through version control and peer review.
• Partner with Product, Design, Engineering, and Data Engineering on instrumentation, event schemas, data contracts, and validation.
• Own data quality by investigating discrepancies, lineage, join coverage, and root causes.
• Analyze customer journeys, funnels, cohorts, retention, adoption, experiments, and commercial outcomes.
• Drive analytics work end to end, delivering reusable models, dashboards, and self-service data products.

Requirements

• Advanced SQL and strong experience with BigQuery or another cloud data warehouse.
• Strong data modeling skills covering grain, cardinality, dimensional models, deduplication, historical data, and join risks.
• Hands-on experience with dbt or similar tools, including testing, documentation, lineage, version control, and production deployment.
• Ability to use Python for data inspection, workflow automation, API integrations, or analytical tools.
• Engineering mindset focused on correctness, maintainability, observability, and reproducibility.
• Practical product analytics experience and clear communication with technical and business stakeholders.

Nice to have

• Experience with orchestration, semantic layers, data contracts, lineage, observability, or near-real-time data.
• Knowledge of experimentation, causal inference, or advanced statistics.
• Experience in B2B SaaS, adtech, complex workflow products, or BI tools such as Tableau or Redash.

Culture & Benefits

• International, inclusive team spanning multiple countries and nationalities.
• Close collaboration across Product, Engineering, Design, and Analytics.
• Autonomy, supportive peers, direct feedback, and opportunities to develop expertise.
• Visible customer and business impact through product work.
• Competitive local compensation, benefits, and wellbeing support.