Data Analyst

We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.

What’s in store for you:

You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.

A word from the team:

We care about your personal development because growth of people inevitably unlocks growth of product and revenue
We have loads of opportunities to impact business decisions and work with/guide senior management/executives on most of our assignments
We value open-source technologies and are using the latest of the data tools to empower our daily operation (Airflow, n8n, Superset, dbt, Google Cloud) and always have the freedom to introduce new ones, which we see as fit for our goals
We have a team that is hungry for challenges and always willing to learn something “new”, so we hope you will be a part of this
We're at the forefront of AI-powered analytics, building our internal tools for self-service analytics. You'll get a chance to work with AI tools and help shape how our organization uses them to empower teams with instant data insights

Your day-to-day:

Develop a foundational understanding of the relationships between customer behavior and our growth drivers through data analysis and data modelling;
Assist in creating and maintaining self-service dashboards for stakeholders across the business, using PowerBI or Superset;
Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes;
Leverage AI tools to accelerate data analysis workflows and improve productivity;
Identify new research areas that should be pursued and provide recommendations to senior stakeholders;
Conduct ad-hoc analysis to address stakeholder questions, focusing on commercial impact and effectively communicating your findings

Your skills & experience:

2+ years of experience working with business leaders in a previous analytical or consulting role;
Proven track record of creating actionable insight and recommendations which have driven business impact;
Knowledge of Excel/Google Sheets where some of your exploratory analysis will take place;
Experience building effective, easy-to-navigate dashboards PowerBI, Superset, Tableau, Looker, or other data visualization tools;
Experience manipulating and analyzing data using SQL (mandatory) and Python (optional);
You’re a problem solver at heart and a team player;
You’re pragmatic and impact-focused: you will choose Excel over Python if it is a better solution for the problem and vice-versa;
Understanding of when and how to leverage AI in both analytical and business workflows;
You’re commercially aware and user-focused - able to understand needs and identify priorities to unlock business value through analytics;
You have a technical aptitude and don’t shy away from engineering-related discussions;
You’re excellent at communicating in both written and spoken English

NICE TO HAVE REQUIREMENTS:

You’ve familiar with and/or worked with SaaS metrics (MRR, LTV/CAC, churn/retention) in your previous role(s)

Tech stack:

Google Cloud Platform (GCS, BQ) for storage and warehousing;
dbt and SQL for data modelling;
Python for automation;
Jupyter for ad-hoc analysis;
PowerBI and Superset for data visualisation;
Airflow for orchestration

Our Salary & Work Benefits Package:

Gross salary: 3200 - 4500 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies
To support your professional growth and make you feel taken care of, we’ve put together an expansive benefit package. It covers learning, well-being, celebration, and much more — learn all about it here

Up for the challenge? Let’s talk!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key Skills

Related Jobs

Analytics Engineer

Backend-Focused Full Stack Developer (Node.js, React)

Site Reliability Engineer (Mid-Senior)

Related Jobs

Analytics Engineer

Backend-Focused Full Stack Developer (Node.js, React)

Site Reliability Engineer (Mid-Senior)

Cookie Settings