Tech Lead Analytics in Comfy

COMFY is a leading omnichannel retailer of household appliances and electronics in Ukraine with 115 stores, which is among the top three e-commerce platforms.

We are looking for a Tech Lead Analytics who will simultaneously be responsible for the creation of the company's data architecture and for the large-scale transformation of data into business solutions.

The role forms an end-to-end system, where data is not simply stored or analyzed, but is consistently and reproducibly transformed into management and automated decisions that impact revenue, margin, inventory, assortment and customer experience. The company has already implemented data products based on artificial intelligence - the task is to build a system where such solutions can be easily built and scaled. ingestion, transformation, storage, semantic and decision layers);

The key focus is transition from data-as-reporting to data-as-decision-making:

• recommendative analytics and AI become part of operational processes;
• business decisions are made quickly, systematically and on the basis of a single logic;
• transformation of data into decisions becomes a standard process, rather than separate initiatives.

In fact, this rolecreates the architectural and methodological foundation that allows the company to scale not only data, but also the quality of business solutions.

Basic tasks:

• Design and development: Data Warehouse / Data Lake / Lakehouse, integrations with various business systems
• Building: batch + real-time analytics, Single Source of Truth for all departments
• Ensuring reliability, scalability, data security
• Building and managing a team of Data engineers, reduction Time-to-Insight for business
• Implementation of data models and AI solutions for business (forecasting, automation, recommendations, churn & LTV, marketing attribution and MMM)
• Unified system of indicators: development of Self-service BI and automated management reporting, elimination of manual reports
• Building analytical products and Data & AI roadmap for 2-3 years

Our expectations:

• 8-12+ years of experience in Data Engineering, Data Science, Ananalytics Platform
• Experience in building a data platform from scratch or at scale is a must, experience running ML in production
• Experience in retail / e-commerce / marketplace is an advantage
• Technical skills: SQL, Python, Cloud: AWS / GCP / Azure; DWH: BigQuery / Snowflake / Redshift; ETL: Airflow, dbt, Kafka, BI: Power BI / Looker / Tableau, ML: forecasting, recommendation, pricing
• Systemic, structured thinking, Ownership Mindset
• Ability to explain complex things to business in simple language
• Orientation on the result, not the "process"

We offer:

• Key CTO role of analytics in a large Ukrainian retail company
• Impact on analytical development and business results
• Competitive compensation and long-term development opportunities