Strong Middle Senior/Senior BI Analyst

6 дней назад

Украина, Украина SOMBRA Полный рабочий день 40 000 ₴ - 80 000 ₴ в год

Strong Middle Senior/Senior BI AnalystRemoteColombia UkraineOur customer is a world leader in entertainment. You will build dimensional analytics infrastructure (dbt + Snowflake) for a high-volume live events ticketing & hospitality business. Transform existing Snowflake source data into production-ready BI models for commercial strategy, pricing, and revenue optimization. Work schedule till 20:00 (UA) or US Central timezone overlap availability (CO).Requirements:5+ years building dimensional data models in production (facts and dimensions)Expert SQL + dbt with deep understanding of materialization strategies (views, tables, incremental)Snowflake production experienceGit workflows: pull requests, code review, peer review collaborationCode quality adherence: linting, pre-commit hooks, following team conventionsStrong data validation and quality assurance skillsExperience debugging and correcting transformation logicCan deliver independently with minimal supervision while collaborating effectively with Analytics/Data Platform teamsPortfolio required: GitHub or similar showing dimensional modeling/dbt workAt least Upper Intermediate English levelPreferred: - E-commerce/ticketing/transactional business experience - Experience with cross-system data reconciliation - BI platform integration knowledge (Tableau, Omni Analytics, Looker)Responsibilities:Expected Effort Distribution: 20% setup/design > 30% initial model building > 40% validation/iteration > 10% documentation/handoffScope Boundaries: All source data exists in Snowflake Landing layer (Bronze). You will build the Analytics layer (Silver) dimensional models – facts and dimensions. Analysts will create their own Marts (Gold layer) using Omni Analytics for self-service BI, so your dimensional models – especially dimensions – must be production-ready, well-documented, and high quality for direct downstream consumption. You will not build data ingestion pipelines, orchestration workflows, or final BI dashboards.Expect significant time on validation work: fixing data quality issues, implementing complex business rules, and iterating based on stakeholder feedback to ensure accuracy.Code Review Process: All code pushed to GitHub for peer review and approval by Data Platform team before merging. Must adhere to established linting standards, pre-commit hooks, and data platform conventions.Strong collaboration and communication with Data Platform team required throughout implementation.

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