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Open nowPosted 11 hours ago

Data Analyst

HR factory

Where
Vilnius, Vilnius City Municipality, Lithuania
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Your applicationOpen nowData AnalystHR factory · Vilnius, Vilnius City Municipality, Lithuania
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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 11 hours ago

The posting

Our client is a newly established analytics and consulting firm in Vilnius, backed by two internationally recognised names: a global leader in management consulting and an international investment fund manager. They bring together top analytical talent to help clients solve complex, high-stakes problems, often in financial services.

Because the business is new, you'll join early and help shape its culture. The team values excellent communication, close collaboration with clients, curiosity, ownership and a strong desire to learn. If you're a strong data analyst and a great communicator who enjoys demanding work delivered at pace, this could be the right place for you.

Responsibilities:

  • Manage client projects from hypothesis to insight, typically one project at a time
  • Develop hypotheses and manage data collection, model building and analysis
  • Conduct primary and secondary research and find creative ways around data limitations
  • Surface insights and present results, potential issues and implications to clients
  • Draw on partners and the internal network for technical and senior-level guidance
  • Work side by side with clients to deliver high-quality project results

Requirements:

  • Bachelor's or Master's degree in a quantitative field, ideally Mathematics, Statistics, Physics, Computer Science, Informatics, Data Science or Engineering
  • Professional experience in quantitatively intense areas, ideally in specialised consulting, top-tier banking or financial institutions
  • Hands-on experience with advanced analytics and data tools: R, Python, SAS, SQL or SPSS
  • Strong analysis, documentation and communication skills
  • Excellent English, spoken and written
  • Ability to work both in a team and independently, with limited supervision and to deadlines
  • Comfort with a demanding workload in a fast-paced environment
  • Discretion and respect for confidentiality
  • Willingness to travel regularly.

Benefits:

  • Salary of 3,500 – 5,000 EUR per month (gross), depending on experience
  • Opportunity to work on international projects
  • Health insurance
  • Additional 5 vacation days per year
  • Dynamic and collaborative work environment
  • Career growth and learning opportunities
  • Flexible working arrangements
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