Join us as a Data Analyst

Data Analyst

Location: Budapest, hybrid (1 days/week in office)

Start date: Flexible. We’re happy to wait for the right person

Team: Engineering

About Recart

Recart helps e-commerce brands turn website visitors into high-performing retention channels through smarter list growth and SMS marketing. Hundreds of top DTC brands like True Classic, Simple Modern, and Her Fantasy Box use Recart to grow faster — driving 10–20% purely incremental revenue through our platform.

We’re a 35+ person global team operating across the US, Hungary, and beyond — and we’re just getting started.

What’s the opportunity?

Understanding Recart’s business and helping go-to-market and product teams with tools and insights to deliver more value to our customers.

A few examples:

• Helping the Marketing or Sales teams with qualification by data enrichment.
• Helping the Customer success team to find new growth levels.
• Helping the Product team with models to understand a possible effect of a new initiative.

Who are we looking for?

We're looking for a colleague who is eager to use SQL and/or Python to equip the go-to-market and product teams with data & operations to deliver a massive impact on growth. If you love the business side of things (sales, marketing, success, strategy), and have experience in dealing with data - have been handling or doing data management at school, manipulating the data, or have experience with APIs - and want to deliver a direct impact on a fast-growing startup - please read on.

First of all, you must be an exceptional learner. This position requires a growth mindset - you must learn extremely fast, be open to feedback and implement changes to your processes.

You can communicate with business teams well, and you always aim to deliver value in an iterative way to them.

You already have some business (sales or marketing) experience and love using data for your decisions and eliminate the guesswork as much as possible. You automate what you can to eliminate repetitive tasks in your life.

What you'll do

• Manage hundreds of millions of data points between our product - Marketing - Sales - Customer Success tools to enable these business teams to drive growth, and ensure that good, clean, centralized data lives in our tools
• Build & maintain scripts, scrapers that identify business opportunities (aka signals: purchase intent, similar technology add/drop, a surge in traffic/sales, etc), and streamlined automations that support revenue growth and strategic decision making
• Provide scalable reporting framework within the company and create dashboards
• Conduct continuous data analyses to improve core data-driven processes (lead qualification, source attribution, lead rerouting, marketing funnel), and recommend ideas for improved efficiency & surface unexpected declines in growth stack performance
• Manage ongoing initiatives to improve data infrastructure & integrity necessary to track valuable business insights
• Our tech stack: AWS, Estuary, Postgres, Zapier,  n8n, Hubspot, HighTouch, Looker.

Huge plus if you

• Have any experience with or willingness to learn the following technologies:  distributed systems, NodeJS, Javascript/Typescript, Go, and AWS.
• Worked with any of these technologies: Amplitude, Apify, Builtwith, Chart.io Dropcontact, Dux-Soup, HubSpot, Hunter.io, Intercom, Pardot, Drift, Marketo, Integromat, Lemlist, N8N, Outreach.io, Reply.io, Segment, Woodpecker, Zapier, or similar.

About you

• You are deeply excited about growing a startup using data and tech
• Interested in building streamlined automation, scripts, and scrapers and architecting solutions that help business teams simplify, automate, and grow - with the ability to work across the entire stack
• Understand data flows and databases and the tools that power marketing automation, experimentation, personalization, attribution, and analytics
• You're good with SQL (we use Postgres) and you want to learn some MongoDB, and Python as well
• You understand what is API economy and you like to work with APIs and get the most out of the data they provide
• Proactive self-starter with the ability to be hands-on and can analyze, interpret and derive insights into business reports, analytic models, and data sources
• Sharp technical troubleshooting and ability to collaborate with business teams
• A quick learner that values making data-driven recommendations
• You have a basic understanding and experience with cloud providers (we use AWS)

Why Recart?

• A product loved by thousands of Shopify stores across the globe
• Above-average stock options (we really mean ownership)
• Flexible vacation days and working hours
• Clear quarterly OKRs and feedback loops. No chaos, no micro-management
• A team that works hard and supports each other with empathy

Our values

• We’re transparent. Clean communication and full visibility across the company.
• We work hard but stay human. Ambitious and empathetic at the same time.
• We’re flexible on the how, bullish on the what.
• We grow and win together.

Application process

1. Intro chat with our recruiter
2. Deep-dive, in person interview with our Chief Technology Officer
3. Home assignment
4. Final on-site: we’ll co-create something together (No trick questions. We just want to see how you think and vibe with the team)

We know the right person might not be available tomorrow and that’s okay. We’re not rushing this hire. If you feel this role speaks to you, even if you’ve never worked in a similar role before, we’d love to hear from you.

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