Currency

Data & Product Analyst

Analytics

Data & Product Analyst

Analytics

-, Gdańsk

Tagvenue

Full-time
B2B
Senior
Remote
3 884 - 5 271 USD
Net per month - B2B

Tech stack

    Google Cloud Platform

    advanced

    BigQuery

    advanced

    SQL

    advanced

    Google Analytics

    regular

    Google Looker Studio

    nice to have

Job description

At Tagvenue, events online marketplace, we are a team of energetic, self-driven and positive individuals. We’re building the world’s largest and most innovative venue-booking platform. We launched in mid-2015, and within a short period, we achieved a market leader position in the UK, Australia, Singapore, Canada and we’re expanding fast in the US. Our site gets upwards of 400 000 monthly website visitors and we’re building a strong team to help us cross the 1 000 000 monthly website visitors milestone within 2 years.


ABOUT THE ROLE

In this role, you will help us make key business and product decisions based on your data dashboards and reports, grow our data-driven company culture and have an opportunity to support Product with A/B tests. You will also have the opportunity to work on Machine Learning, Natural Language Processing and recommendation algorithms.

The role is an exciting combination of data, business and product with a front-line view into how digital consumer marketplaces operate and how users behave, search and book. 400k monthly users on our marketplace allow for many fascinating experiments, learnings and high-impact projects.


YOUR RESPONSIBILITIES:

  • Creating and maintaining Business Intelligence dashboards that serve the company in making key business decisions
  • Measuring the impact of product changes by analysing data from the product experiments and sharing insights with the teams
  • Implementing metrics for A/B tests and experiments developed by Product & IT Team
  • Making data accessible to everyone in Tagvenue by analysing business teams’ needs and providing them with actionable data reports
  • Presenting and visualising business data in a clear and user-friendly way
  • Improving the accuracy and efficiency of the recommendation engines on the Tagvenue platform (experience in Machine Learning or Natural Language Processing would be an advantage)
  • Improving and maintaining the company data infrastructure (Google Analytics, BigQuery, Tag Manager, database: Elastic Search, MySQL)
  • Leading team of analysts to make sure that all requests are timely fulfilled


WHAT YOU NEED TO SUCCEED:

  • Minimum 3 years experience in a data-related role (Data Analysis, Reporting Specialist, Data Management or Modelling, or Machine Learning)
  • Good knowledge of SQL and relational database management systems (RDBMS)
  • Experience with Data Warehouses and Big Data, in particular, experience with Google Cloud Platform is a plus (BigQuery, Cloud SQL, Google Analytics)
  • Experience with Google Looker Studio or any other visualization tool (PowerBI, Tableau, QlikView)
  • Practical experience in applying statistics when analysing business metrics and experiments
  • English min C1 - we are working internationally
  • User-Centred mindset, deep domain understanding (knowledge of Domain Driven Design would be an advantage)
  • Ownership of your projects - you feel responsible for delivering high-quality results on time
  • Strong problem-solving skills and a can-do attitude
  • Nice to have: Python programming skills, Interest in recommendation engine optimisation, Machine Learning, Cloud for Data Science, Elastic Search, Google Tag Manager

 

WHY YOU’LL LOVE WORKING AT TAGVENUE:

  • 100% remote work anywhere in Europe or from our office in Kraków 🌎
  • B2B contract or contract of mandate 📝
  • 24 paid days off & all bank holidays 🌴
  • Day off on your birthday 🎂
  • Flexible working hours ⏱
  • Access to private healthcare 🏥
  • Every quarter we gather in Kraków to see each other in person and have fun together 🎊
  • Online team building events 🏆
  • Tagvenue book/course allowance 📚
  • Dynamic startup culture 🚀


Published: 20.12.2023
Office location