Junior Analytics Engineer

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.
Join a dynamic, cross-functional team where you’ll have the freedom to shape how we handle and analyze data. You'll work closely with data engineers, developers, and product teams, contributing to everything from data taxonomy design to implementing data quality assurance models. The role offers a high degree of ownership, and your insights will directly impact our business strategy and customer solutions. You’ll be working with the latest technologies like SQL, Python, Spark, and Jupyter, and you’ll have plenty of opportunities to grow and develop your skill set in a fast-paced, supportive environment.

Your day-to-day:

• Contribute to designing and building analytical layer on top of our datasets by working in an agile Data analytics track with data engineers and developers.
• Explore multitude of rich alternative business datasets and help discover trends or extract most valuable and actionable insights for our end business customers.
• Support Product team and their experimentation efforts by helping build and validate prototype datasets at high-velocity and directly contribute to opening new revenue streams.
• Conduct on-demand custom analysis from our broad data to support the needs of our business and internal teams.
• Shape the future of our data and analytical products by providing skills, expertise, insights, and suggestions for various improvements.
• Assist and build QA assurance models on our data products.

Your skills & experience:

• 2+ years of previous experience in analytical role.
• Proven ability to discover trends and extract actionable insights from data that deliver business value.
• Excellent skills in SQL, proficient skills in Python.
• Skilled in visualizing most prominent trends and findings from data in a readable form.
• Structural thinking and ability to clearly express oneself and align with different stakeholders.
• Ability to effectively cooperate and enable others to reach common objectives.
• Attention to details and propensity to dig into deeper layers of any matter to inspire potential improvements.

Nice to have:
• Prior experience with data modeling.
• Experience in Spark, Dagster, DBT, Superset, Trino.
• Previous experience working in the same team with data engineers.
• Business acumen and general commercial awareness how insights can convert to value and, in turn, unlock new revenue and business growth.
• Excellent written and spoken English

Salary:

• Gross salary: 1990 - 4300 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience.

Up for the challenge? Let’s talk!