Analytics Engineer, Finance

Lovable Labs Sweden AB; Stockholms kommun; On-site; SEK 436,300 - 654,450; Full time

Job summary

A tech company specializing in software is seeking an Analytics Engineer to own the data foundation for financial reporting and analysis. You will be responsible for building models that connect billing and revenue data, ensuring accuracy in financial reporting. Ideal candidates should have expertise with SQL, data transformation tools, and a strong understanding of subscription metrics. This is an opportunity to join a growing team at the forefront of a shift in software creation, making a direct impact on how digital products are built.

Qualifications

• Familiarity with subscription/SaaS metrics such as MRR, ARR, churn.
• Experience managing billing and payment data with tools like Stripe.
• Expertise with SQL and data transformation tools.

Responsibilities

• Build and maintain dimensional models for revenue recognition.
• Create foundational tables for financial reporting.
• Manage ingestion pipelines for financial data sources.
• Define and document business logic for reporting.
• Monitor data quality for financial data integrity.

Skills

Familiarity with subscription/SaaS metrics

Experience with billing and payment data

Expertise with SQL

Understanding of dimensional modeling

Hands-on experience with data transformation tools

Experience with data warehousing concepts

Attention to detail

Tools

SQLMesh

dbt

Stripe

Snowflake

Looker

Job description

TL;DR - We're looking for an Analytics Engineer to own the data foundation that powers financial reporting and analysis at Lovable. You'll build the models that connect billing, subscriptions, and revenue data to ensure Finance has accurate, auditable data for reporting, forecasting, and decision-making.

Why Lovable?

Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we're just getting started.

What we are looking for

• Familiarity with subscription/SaaS metrics (MRR, ARR, churn, LTV, cohort analysis)
• Experience working with billing and payment data (Stripe, Chargebee, or similar)
• Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)
• Understanding of dimensional modeling, data contracts, and metrics/semantical layers.
• Hands‑on experience with data transformation tools (SQLMesh, dbt, or similar)
• Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)
• Attention to detail and understanding of why accuracy matters for financial data

What you will do

• Build and maintain dimensional models (SQLMesh) for revenue recognition, subscription metrics, and financial reporting
• Create foundational tables for MRR/ARR, churn, expansion, contraction, and cohort‑based revenue analysis
• Manage ingestion pipelines for financial data sources (Stripe, billing systems, payment processors)
• Reconcile data across systems to ensure accuracy between source of truth and reporting layers
• Define and document business logic for financial metrics (recognized revenue, deferred revenue, bookings)
• Monitor data quality and implement validation checks for financial data integrity
• Partner with Finance to translate reporting requirements into reliable, well‑structured data models

Our tech stack

• Frontend: React
• Backend: Golang and Rust
• Cloud: Cloudflare, GCP, AWS, Many LLM providers
• DevOps & Tooling: GitHub Actions, Grafana, OTEL, infrastructure‑as‑code (Terraform)

How we hire

• Fill in a short form then jump on an intro call with recruiter.
• Complete the general programming exercise.
• Show us how you approach problems during several technical interviews.
• Tell us about your most impressive project.

About your application

Please submit your application in English - it's our company language so you'll be speaking lots of it if you join.

We treat all candidates equally - if you're interested please apply through our careers portal.