Introduction

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).