Data Analyst

About the Role

We are looking for a highly motivated Data Analyst to join our team in Vilnius to deliver business intelligence, web analytics, statistical analysis, and data mining utilizing modern data tools that helps our clients better understand how their consumers engage with consumer-generated content.

You will identify and measure key performance indicators (KPIs), collaborate with client stakeholders to uncover hidden opportunities, and turn complex datasets- both structured and unstructured- into clear, actionable business reporting.

Key Responsibilities:

• Client Engagement & Consulting: Partner directly with client stakeholders to scope custom reporting needs uncovering key business objectives and delivering clear analytics recommendations.
• Analytics & Data: Analyze large-scale consumer data using SQL, traditional statistical methods, and modern techniques (e.g. sentiment analysis, text classification)
• Automation & Workflow Optimization: Use SQL and Python to automate reporting pipelines and improve operational efficiency.
• Data Visualization & Storytelling: Design intuitive datasets and dashboards that deliver clear, impact-driven KPIs to both technical and non-technical client audiences.
• Cross-Functional Collaboration: Translate client business requests into clear technical specifications while partnering with Client Success, Sales, Data Engineering, and Product teams to build new offerings..

Requirements, Education & Experience:

• 2+ years of hands-on experience in a data analytics or business intelligence role.
• University degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Computer Science, etc.)
• SQL & Cloud Data Warehouses: Strong proficiency in advanced SQL for querying large, complex datasets across cloud data platforms (e.g. AWS Athena, Google BigQuery, Snowflake, or Databricks).
• Programming & Scripting: Practical experience with Python for automation, data manipulation, and statistical analysis.
• Client-Facing Communication: Proven track record in a client-facing or internal stakeholder consulting role, with ability to communicate technical findings concisely in fluent English (written and spoken).

Nice to have:

• AI Literacy & Tooling: Familiarity with leveraging modern AI tools/LLMs for analytical workflows (e.g. prompt engineering for data extraction, code generation, or text processing).
• Data Engineering: Experience with data engineering ELT (extract, load, transform) processes and tools (e.g. Airflow, dbt, or Fivetran), as well as API integrations for data collection or automation.
• Web Analytics: Knowledge of BI tools and web/product analytics concepts (e.g. event tracking, user segmentation, and funnel analysis).
• Version Control: Experience with Git and code review practices..