Data Analytics Engineer, Growth Marketing

ResQ Club; Helsinki; Hybrid; EUR 65,000 - 100,000; Full time

Job summary

ResQ Club is seeking a Data Analytics Engineer, Growth Marketing, to bridge data infrastructure and growth initiatives. You will activate data for marketing systems, analyze two-sided marketplace dynamics, and design experiments to optimize CAC, LTV, and NRR.

The role blends data engineering, analytics, and performance marketing to scale international growth. Applicants should be proficient in SQL and Python, comfortable with BigQuery, dbt, and marketing platforms like Customer.io.

Qualifications

• Hands-on data activation experience building and maintaining data pipelines and reverse ETL.
• Strong SQL and Python skills with relational databases and data warehouses.
• Commercial mindset with SaaS/marketplace metrics, LTV, CAC, margins, cohort analysis.
• Experience designing statistical tests and CRO/attribution modeling.
• Ability to translate technical work into actionable insights for product/marketing teams.
• Autonomous problem solving across data eng, analytics, BI, and business insights.

Responsibilities

• Drive Data Activation & Journey Optimization by piping data into marketing platforms and monitoring journeys.
• Analyze marketplace dynamics, measure GMV, and build models for CAC, LTV, payback, and margins.
• Design data infrastructure and models for A/B testing and PLG experiments.
• Integrate core databases with marketing systems and refine attribution models.
• Collaborate with product/engineering on pricing elasticity for expiring offers.

Skills

SQL

Python

Growth metrics

Experimentation

Cross-functional communication

Autonomous problem solving

AI/ML mindset

Tools

BigQuery

dbt

Holistics

Customer.io

Job 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

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.