Data Analyst

1 week ago


Bucharest Metropolitan Area, Romania Veridion Full time €50,000 - €75,000 per year

Your role

As a Data Analyst in the Presales team you'll help us bring our firmographic data to life in client-facing prototypes. In this role, you'll dig into data quality, shape datasets to fit real business needs, and collaborate closely with internal teams to deliver high-impact POCs. It's a hands-on, problem-solving role that blends technical skills with a strong understanding of context and use cases.

What you'll do

  • Analyze data quality using tools like Excel, SQL, and Spark to identify outliers and define KPIs
  • Work with the wider data team to investigate issues and drive improvements
  • Customize, shape and fine tune data assets to match unique client needs during the POC phase
  • Understand the business context behind each use case and adjust data accordingly
  • Research and validate data from web sources to enrich our datasets
  • Prepare and review data samples to be shared with clients, working closely with Sales
  • Support the AI and Data Science teams by curating and testing training datasets
  • Quickly prototype solutions to tricky or unique specific business-related use cases
  • Spot areas where we can do things better and suggest improvements

Your qualifications

  • Previous experience in a Data Analyst role
  • Strong Excel skills and good SQL knowledge are a must
  • Experience with Apache Spark is nice to have; Scala or Python is a bonus
  • A curious mindset is a must - you enjoy asking questions and exploring the "why" behind the data
  • Proneness for the technical side of things and interest in how data pipelines work
  • Comfortable working with large datasets and fine details
  • Ability to connect data to real business needs and think critically about how it's used
  • Good communication skills, ready to coordinate internally and engage with clients when needed
  • Familiarity with firmographic or B2B data is helpful, but not mandatory

What's in it for you

  • Pioneering work at the forefront of Big Data, Infrastructure and Machine Learning that sometimes means relying on academic papers as our only formal guiding tools in moving onwards
  • The chance to shape an original product in a fast growing company, backed by VC investors
  • A merit-based, no BS, value-oriented and particularly collaborative work environment
  • Fair compensation, the possibility of ESOP and upward salary growth based on performance
  • Groundbreaking professional challenges and the autonomy to try stuff for the very first time, no matter how experienced you are
  • The promise to use the right tool for the job to be able to channel your efforts on what can't be compensated for — the best use of your skills and abilities
  • The space to try new things out (your way) paired with the freedom to make reasoned decisions and own them

What we expect from you in return

  • High speed and uncompromising quality in your work
  • A growth mindset, able to capitalize on unprecedented contexts through your skills and abilities
  • An appetite to grapple with a variety of technical challenges
  • The ability to quickly and effectively evaluate technical tradeoffs and translate them into relevant scenarios
  • Consistent performance over time coordinated with a matching set of values
  • Strong problem solving skills that enhance the way you deal with the tension between brief and shipping
  • Aversion to the idea of any customer or colleague struggling with what you delivered
  • High tolerance for ambiguity, marked by your ambition to push forward with incomplete information
  • Resilience, especially in front of failure, that is always paired with pioneering work

Recruitment process

  • A home assignment
  • 2 discussions, one of which is face to face and includes a live task

We need people who are zealous about revolutionary technology, highly collaborative work and raising the bar on our product as it is unfolding. If you're excited about our mission, but don't yet meet 100% of the qualifications above, we still encourage you to apply.


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