Introduction

👋 Hello, we are itrinity, a fast-growing ****tech company based in ****Slovakia 🇸🇰 and Czechia 🇨🇿, with a mission to build an ever-growing portfolio of highly profitable SaaS businesses. We've been profitable since day one and have grown over 30% in EBITDA (YoY) for the last seven years.

Our team currently consists of over 50 members who improve our five different SaaS products daily. Every itrinity employee has the option to participate in our company ESOP, so our people grow together with the company 🚀

We work mostly remotely, shaping products that our customers love ❤️

Namely:

• UptimeRobot → The World’s Leading Uptime Monitoring Service - Downtime Happens. Get Notified!
• Mangools → SEO Tools for Busy People - Effective and Affordable SEO Toolset
• EmailListVerify → Full-featured Email Verification for Half the Price
• WarmUpInbox → An Effective Email Warmup - Avoid Spam & Promotion Folders
• GeoTargely → An All-In-One Geo Targeting Platform - Personalize to Improve Conversions

We are proud to serve more than 6,250,000 users worldwide, including renowned companies like Apple, Cisco, BMW, and even NASA 🚀.

<aside> 💡 If you prefer a full-length version, check out: About us (our story).

</aside>

Skill requirements (are we a match?)

<aside> 👉 Are you all about data? Are you capable to cover the whole loop from data collection through transformation to analysis and presentation? We might have an offer for you!

</aside>

At itrinity, we strive to become even more data-driven company. Therefore we want to:

• measure and evaluate every marketing activity and channel,
• have real-time view into the most important KPIs,
• evaluate newly deployed product features (and throw them away if they fail to get the expected usage),
• perform and evaluate a LOT of A/B tests (pricing pages, motivators / upsells, onboarding flow, emailing, PPC landings),
• be able to spot interesting correlations in our data & better understand our customers - how they use our products and what motivates them to pay more,

<aside> 👉 And we want to do all of this for our 4 global SaaS products (while 5th is on the way).

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Must have

• Data Collection & Storage: hands-on experience with analytical/tracking/data stack from Google (GA, UA, GA4, Tag Manager, Google Ads, eCommerce Tracking).
  • analysis and organisation of raw data,
  • building data systems and pipelines,
  • identifying opportunities for data acquisition,
  • combining raw information from different sources,
  • exploring ways to enhance data quality and reliability,
  • setting up all the necessary tracking pixels,
  • setting up & maintaining basic GTM/GA events,
  • You will understand and optimize what kind of data we actually collect and what are their limitations.
• Data analysis: Strong hands-on experience with SQL + BigQuery dialect
  • Understanding and ability to compute SaaS metrics like ROI, PNO, ROAS, CAC, CPA, etc.
  • Ability to comprehend complex data schemes and product specifics.
  • You will define & implement the best way to query the data for the various insights/reports we need - given the specific structure and limitations of our data.
• Data Presentation: hands-on experience Google Data Studio or other real-time data-presentation.
  • You will implement, maintain and extend a set of prepared real-time reports across our products.
• Soft skills:
  • Ability to take responsibility and own your decisions, while being open to make mistakes and learn from them.
  • Ability to self-manage and organise - many of your tasks will be your own agenda.
  • Ability to say “I don’t know”, being open-minded and eager to learn.

Nice to have

• Experience with Python, R for advanced data processing / segmentation.
• Experience with AI/ML for predictive modelling.
• Data engineering certification (e.g IBM Certified Data Engineer).