4 days ago

Analytics Engineer

FeedbackFruits

Amsterdam

4 days ago

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Analytics Engineer

FeedbackFruits, an Amsterdam-based EdTech company, is hiring an Analytics Engineer to own and extend its data products alongside the Data Lead. The role requires early-career professionals with production experience in Python and complex SQL, who can take data needs end-to-end and work on-site two days a week.

HybridFull-timeEntry LevelPythonSQL

Analytics Engineer

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HybridFull-timeEntry LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid work schedule (2 days onsite)

Employment Type

Full-time

Experience Level

Early in career, but not at the start; has shipped data work others depended on

Core Qualifications

Technical (Must-have)

PythonSQLdbtGitAI tools like Claude Code or Codex

Soft Skills

ResourcefulRoot cause analysisCommunicationScope managementMultitasking

Preferred Qualifications

Technical (Nice-to-have)

DuckDBFastAPIMixpanelAzureTerraform

Key Responsibilities

•Own our data products end to end together with me: the datalake, the dashboards, the MCP for conversational analytics, the data API, and the analytics embedded in our product
•Take a data need from the business and carry it the whole way, from getting new data into the datalake to the moment someone is using it to make a call
•Build the transformation layer in SQL and dbt, and write the Python that moves data around and exposes it, from extraction jobs to API services
•Keep the stack healthy and make it incrementally better: faster models, stronger data quality checks, less technical debt. You spot most of this yourself rather than waiting for it to be assigned
•Turn data into a conclusion with an implication. Not a chart, but an answer a product or GTM team can act on: who isn't adopting, what drives adoption, what we should do differently
•Present that work to product and go-to-market teams, and where it scales better, build them the tooling to answer their own questions
•Work on larger initiatives that fundamentally change how our data stack works, alongside the day to day requests
•Review my work the way I'll review yours

Analytics EngineerEdTechDataPythonSQLdbtAmsterdamFull-timeHybridEntry Level

Key Responsibilities

•Own our data products end to end together with me: the datalake, the dashboards, the MCP for conversational analytics, the data API, and the analytics embedded in our product

•Take a data need from the business and carry it the whole way, from getting new data into the datalake to the moment someone is using it to make a call

•Build the transformation layer in SQL and dbt, and write the Python that moves data around and exposes it, from extraction jobs to API services

•Keep the stack healthy and make it incrementally better: faster models, stronger data quality checks, less technical debt. You spot most of this yourself rather than waiting for it to be assigned

•Turn data into a conclusion with an implication. Not a chart, but an answer a product or GTM team can act on: who isn't adopting, what drives adoption, what we should do differently

•Present that work to product and go-to-market teams, and where it scales better, build them the tooling to answer their own questions

•Work on larger initiatives that fundamentally change how our data stack works, alongside the day to day requests

•Review my work the way I'll review yours