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Signific Tech Stack

Data consulting and analytics platform for product teams

Information Technology & Services Stockholm 11–50 employees Founded 2020 Privately Held

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.

Tech Stack 27 technologies

What Signific Is Building

Challenges

  • Removing manual hours
  • Connecting two systems
  • Making unstructured data ready for analysis
  • Solving business and societal problems with data
  • Driving product and design decisions with user data
  • Transitioning teams to data-driven culture

Active Projects

  • Modern data stack building
  • Api data source integration
  • Large data analysis
  • Kpi development for user behavior
  • Data modeling for business problems
  • User data analysis for product decisions
  • Ethical ai
  • Sustainability initiatives

Hiring Activity

Minimal6 roles · 0 in 30d

Department

Data
5

Seniority

Mid
4
Senior
1
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About Signific

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.

HeadquartersStockholm
Company Size11–50 employees
Founded2020
Hiring MarketsSweden

Frequently Asked Questions

What tech stack does Signific use?

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.

Is Signific hiring data engineers?

Signific has 5 active data-focused roles (mid and senior level), primarily in analytics engineering and data science. All hiring is currently in Sweden.

What is Signific working on?

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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