Signific is a Stockholm-based data consulting firm helping product and engineering teams move to data-driven decision-making. The stack spans modern analytics tools (Tableau, Looker, Mixpanel, Amplitude) and data infrastructure (Snowflake, Kafka, dbt, Spark), with active work on modern data stack buildouts, API integrations, and KPI development. The hiring mix is data-concentrated (5 roles, mid-to-senior level) and focused on analytics engineering and data science — reflecting a consultancy model where technical depth matters more than headcount.
Signific advises organizations on product analytics, data engineering, AI/ML, and growth experimentation. The firm works embedded within client product and data teams, supporting common initiatives like usage analysis, recommendation systems, price optimization, customer segmentation, and marketing automation setup. Typical engagement roles include Growth Leads, Experimentation Leads, Product Data Analysts, Analytics Engineers, and ML Engineers. Founded in 2020 and based in Stockholm, Signific operates as a small, privately held consultancy.
Signific's stack includes Tableau, Power BI, Looker, Mixpanel, and Amplitude for analytics; Snowflake and GCP for data warehousing; dbt, Kafka, and Apache Spark for data engineering; and Python and R for analysis and modeling.
Signific has 5 active data-focused roles (mid and senior level), primarily in analytics engineering and data science. All hiring is currently in Sweden.
Current projects include modern data stack building, API data source integration, KPI development for user behavior, data modeling, ethical AI, and sustainability initiatives.
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