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Kiloverse's Data Team is seeking an experienced data analyst to work on an internal media buying tool and scale the business across health, wellness, beauty, or travel brands.
You will work with dbt, Looker, and Airflow on data warehousing, reporting, and analytics solutions, while collaborating with cross-functional teams and stakeholders. Fluency in English is required.
Kiloverse is the operational force that helps ventures grow — building the systems, teams, and infrastructure that turn ideas into scalable businesses. Behind every fast-growing product, there’s a group of people who think like owners, act fast, and execute with precision. Here, you’ll find people who want to break big in their careers — working side by side with entrepreneurs and founders to build ventures that redefine the health, wellness, beauty, or travel industries.
The Data team, as part of Kiloverse, is the operational force behind every impactful Kilo solution, providing advanced data engineering, modelling and reporting solutions for the whole group. Currently, we are looking for an experienced data analyst to work on an internal media buying tool that will help scale the business even further.
Gross salary range is 4000-5200 EUR/month.
Choose between our Vilnius headquarters or our Kaunas hub — two great spaces designed for doing your best work. For Vilnius: 4 days onsite, 1 flexible day remote. Meanwhile, in Kaunas: onsite, hybrid, or remote options are available depending on the role.
7 extra days off, 3 for weddings, hybrid work, and the freedom to work 2 months from anywhere in the world.
Builders never stop learning. Coaching, mentorship, training, conferences, online courses, subscriptions, books – you’ve got a €1100 yearly budget to fuel personal or team growth. You pick the path – we’ll back you all the way.
This is where ambition scales. Build impact across 30+ brands worldwide. Launch bold projects. Even step in as a co-founder – we reward those who push further. And if you bring in more great people, you get €1500 for every successful referral.
Additional conditions apply based on your residence location.