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Winona

Data Analytics Engineer, Growth Marketing

Winona Helsinki, Southern Finland, Finland

Construction · 1,001-5,000 employees

5 h ago
Mid (2-5 yrs) Full-time Finland
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About the role

You will bridge the gap between technical data infrastructure and growth marketing by managing data pipelines and optimizing customer journeys. The role involves analyzing marketplace dynamics, building experimentation loops, and integrating marketing systems to drive supply and demand.

What they look for

SQL Python Data Engineering Data Modeling Marketing Automation Customer Journey Optimization Marketplace Analytics A/B Testing Statistical Modeling Attribution Modeling Reverse ETL BigQuery dbt Holistics Product-led Growth Unit Economics

Requirements

The ideal candidate has hands-on experience with data pipelines, reverse ETL processes, and marketing platforms. You must possess high proficiency in SQL and Python, along with a strong understanding of SaaS metrics and statistical experimentation.

Full description

ResQ is more than just an app – it’s a growing movement. We’re building a community that believes surplus goods deserve a second chance. We are on a mission to reduce food waste globally — and we are looking for a Data Analytics Engineer, Growth Marketing to bridge the gap between technical data infrastructure and hands-on growth marketing. Are you ready to build the engine for international growth in a company fighting food waste? Find out more about ResQ Club: https://www.resq-club.com/fi/

The role

As our Data Analytics Engineer, you’ll stand at the crossroads of data engineering, advanced analytics, and performance marketing. Unlike a traditional data engineer who solely models datasets, your focus will be on data activation - piping data into marketing systems, performing deep analysis of customer journeys, and creating end-to-end monitoring and optimization loops. You will play a critical role in scaling our two-sided marketplace by leveraging data to drive both supply and demand.

What you’ll do

  • Drive Data Activation & Journey Optimization: Implement and manage data flows into marketing automation platforms (e.g., Customer.io). Use data to monitor, evaluate, and optimize end-to-end customer and partner journeys.
  • Analyze Marketplace Dynamics & Economics: Evaluate supply-demand balance, neighborhood liquidity, sales rates, and geographic density to maximize localized GMV. Build models to track CAC, LTV, Payback Periods, and Contribution Margins.
  • Build Experimentation & Growth Loops: Design data infrastructure and statistical models for A/B testing (funnels, pricing elasticity, referral loops). Track product-led growth (PLG) mechanics to lower acquisition costs and boost Net Revenue Retention (NRR).
  • Integrate MarTech & Attribution: Connect core databases with marketing systems to trigger automated, personalized campaigns. Refine multi-touch attribution models to optimize budget allocation toward high-LTV channels.
  • Partner on Dynamic Pricing: Collaborate with product and engineering teams to model price elasticity and timing sensitivity for expiring food offers.

What we are looking for

  • Hands-on data activation experience: Proven ability to build and maintain data pipelines, integrations, and reverse ETL processes across APIs, databases, and marketing platforms.
  • High proficiency in SQL and Python with a strong background in relational databases, data warehouses, and data modeling.
  • Commercial & Growth mindset: Deep understanding of SaaS/marketplace metrics, unit economics (LTV, CAC, margins), cohort analysis, and product-led growth (PLG).
  • Experimentation expertise: Experience in statistical test design, hypothesis testing, conversion funnel optimization (CRO), and attribution modeling.
  • Cross-functional communicator: Ability to translate deep technical work into clear, actionable insights for product and marketing colleagues. You thrive in close partnership with team members who are tech-savvy but may not be as deep in data engineering or statistics.
  • Autonomous problem solver: Comfortable working across data engineering, analytics, BI dashboards, and business insights to deliver end-to-end solutions.
  • AI-friendly approach: Enthusiastic about identifying and building practical ML- and AI-powered solutions.
  • Experience with tools such as BigQuery, dbt, Holistics, Customer.io, or similar marketing platforms.

Specifications

⏱ Full-time role 📍 Location: Helsinki-based with flexible hybrid work opportunities

Why ResQ Club?

Joining ResQ Club means using your technical skills for good by building a growth engine that reduces food waste and promotes sustainability. You will play a pivotal role in scaling our two-sided marketplace by leveraging data to drive both supply and demand across all markets.

How to Apply

In this process ResQ Club is working together with Winona. If you have any questions please contact recruitment consultant Maria Mäntylä +358 50 5251677. She will be best available for calls on 12.8. between 15:00-16:00 or 17.8. between 13:00-14:00.

Please note that our recruitment process moves fast: short assessments and first-round interviews with Winona’s recruitment consultant will take place between August 17th and August 25th, followed soon by final interviews with the ResQ Club team.

We are waiting for your application!