We are looking
For a Data Analyst with a strong foundation in data science and technical expertise to join our dynamic team. This role is critical for developing data-driven solutions to complex challenges in a high-scale e-commerce environment, where precision and actionable insights drive performance.
Get ready to
- Build data pipelines and optimize ETL workflows to ensure seamless integration across diverse data sources
- Develop and deploy predictive and causal models to derive actionable insights, forecast trends, and address critical business questions
- Collaborate with marketing, product, and operations teams to define key business questions and deliver advanced analytics solutions that guide decision-making
- Work with structured and unstructured data to perform data wrangling, preprocessing, and validation, ensuring data accuracy and defining a reliable source of truth for critical metrics
- Design and maintain interactive dashboards for stakeholders, conduct ad-hoc analyses, and provide consultative insights on key performance metrics
- Lead and execute root cause analyses to diagnose and resolve challenges in areas such as e-commerce sales, user acquisition and user retention
- Proactively enhance monitoring processes, identify anomalies and trends, and implement solutions to improve customer value and operational efficiency
We expect you to
- Have a degree in Computer Science, Economics, Econometrics, Mathematics, Statistics, or equivalent experience in machine learning, data mining, and feature engineering
- Demonstrate proven expertise in predictive modeling, causal inference, and applying these techniques to solve real-world business challenges
- Possess advanced proficiency in SQL, including expertise in query optimization, data manipulation, and debugging complex scripts
- Have strong programming skills in Python, with experience in key libraries and frameworks for building reproducible data workflows
- Be familiar with ETL processes, data warehouse concepts, and the ability to design and manage scalable data infrastructure (a plus)
- Have experience in e-commerce analytics (a plus)
- Be proficient with BI tools (e.g., Looker, Power BI, Tableau, QlikView) for creating compelling visualizations and driving data democratization
- Translate complex analytical insights into business-friendly language, effectively engaging a wide range of stakeholders
- Have a solid understanding of digital marketing KPIs, subscription-based business models, and lifecycle metrics
- Be fluent in English and Lithuanian
- Have experience with MLOps platforms such as Metaflow, BentoML, or KubeFlow for operationalizing machine learning workflows (bonus skill)
- Have hands-on experience scaling analytics and data science pipelines in global e-commerce or high-growth industries (bonus skill)
Salary
Gross salary range is 3800 – 5100 EUR/month.
Location
This position is based in Vilnius, Lithuania: 4 days onsite, 1 flexible day remote.
