Alexander Stolnikov

Background

About Alexander Stolnikov

I build analytics foundations for product and business decision-making.My work focuses on shaping reliable data models, owning transformation layers, and defining metrics that reflect reality rather than dashboards for their own sake. I care deeply about analytical correctness, long-term maintainability, and creating foundations that scale with the company — technically and organisationally.I tend to work close to product and commercial teams, translating ambiguous questions into structured analytical problems and turning data into decisions. I value clarity over volume, principles over shortcuts, and ownership over hand-offs. A large part of my work is ensuring analytics is trusted, understood, and used — not just produced.I enjoy operating in environments where things are still being shaped, where analytical foundations matter, and where thoughtful data work has a direct impact on how teams think and act.My background is in economics, and my practice sits at the intersection of analytics, product thinking, and data engineering. Tech Stack: SQL (Spark, Presto, Redshift), Python, dbt (modeling + testing), Airflow, Databricks🧱 Data Modeling & Engineering: Dimensional modeling, source-to-target mapping, metric marts, dbt testing and documentation, modular reusable jinja macros Experimentation: A/B testing design, MDE, A/A testing, Probability theory Product Research: Funnels, churn, retention, user segmentation, engagement BI Tools: Looker (LookML), Mixpanel, Tableau, PowerBI Data Infrastructure: data pipelines orchestration, maintaining data quality, version control (Git) Industries: E-commerce (5+ years), Banking/brokerage/FX (2 years)