Job Overview
We seek a highly skilled Data Analytics Engineer to develop data-driven solutions.
This role is critical for driving performance in a high-scale e-commerce environment, where precision and actionable insights are key.
Key Responsibilities
* Design and optimize data pipelines for seamless integration across diverse data sources
* Develop predictive models to derive actionable insights, forecast trends, and address business questions
* Collaborate with cross-functional teams to define business questions and deliver advanced analytics solutions
* Work with structured and unstructured data to perform data validation, ensuring accuracy and defining a reliable source of truth for metrics
* Design and maintain interactive dashboards, conduct ad-hoc analyses, and provide consultative insights on key performance metrics
* Lead root cause analyses to diagnose and resolve challenges in areas such as sales, user acquisition, and retention
* Enhance monitoring processes, identify anomalies and trends, and implement solutions to improve customer value and operational efficiency
Requirements
* Bachelor's degree in Computer Science, Economics, Econometrics, Mathematics, Statistics, or equivalent experience in machine learning, data mining, and feature engineering
* Proven expertise in predictive modeling and causal inference
* Advanced proficiency in SQL, including query optimization, data manipulation, and debugging complex scripts
* Strong programming skills in Python, with experience in key libraries and frameworks for building reproducible data workflows
* Familiarity with ETL processes and scalable data infrastructure (a plus)
* Experience in e-commerce analytics (a plus)
* Proficiency with BI tools for creating compelling visualizations
* Able to translate complex analytical insights into business-friendly language
* Solid understanding of digital marketing KPIs and subscription-based business models
* Fluent in English and Lithuanian