Analytics Engineer

Lovable
Stockholm
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["SQL","Dbt","SQLMesh","Looker","Tableau","Power BI","Hex","Metabase","Airflow","Dagster","Prefect","Snowflake","BigQuery","Redshift","Databricks","Golang","Rust","React","Terraform"]

Analytics Engineer to own the semantic and modeling layer of the data warehouse, transforming raw data into well-defined datasets and metrics. You will focus on analytical consistency, design impactful metrics, and build foundations for self-service analytics. Collaborate with domain teams, optimize queries, document data contracts, govern data lineage, and shape scalable data structures and analytics guidelines.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Lovable
Lovable
8 months ago

Analytics Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Analytics Engineer to own the semantic and modeling layer of the data warehouse, transforming raw data into well-defined datasets and metrics. You will focus on analytical consistency, design impactful metrics, and build foundations for self-service analytics. Collaborate with domain teams, optimize queries, document data contracts, govern data lineage, and shape scalable data structures and analytics guidelines.
Location: Stockholm
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Build and maintain data models, following modular, tested, and version-controlled practices
  • •Partner with domain teams to understand business logic and codify it into reusable models and metrics
  • •Define and document key metrics and data contracts across domains
  • •Collaborate with Data Platform Engineers to optimize query performance and warehouse cost
  • •Automate and maintain data documentation, lineage, and governance standards

Key Requirements

  • •Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)
  • •Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)
  • •Understanding of dimensional modeling, data contracts, and metrics/semantical layers
  • •Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc)
  • •Strong business acumen and ability to translate domain logic into scalable data structures
Experience:Data analytics
Skills:SQLDbtSQLMeshLookerTableauPower BIHexMetabaseAirflowDagsterPrefectSnowflakeBigQueryRedshiftDatabricksGolangRustReactTerraform
Languages:English
Tech Stack:SQLDbtSQLMeshSnowflakeBigQueryRedshiftDatabricksLookerTableauPower BIHexMetabaseAirflowDagsterPrefectGolangRustReactTerraform

Company Brief

Lovable
Lovable builds a conversational AI platform that lets users create apps and websites by chatting with AI, automating full‑stack development and integrations to rapidly produce production-ready software.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: Stockholm, Sweden
Founded: 2023
WebsiteLinkedInGlassdoor