BI Engineer

Компания "Syrve"

• ~40% of the time

  • Development and maintenance of dashboards in Power BI and performing deep analytics in Excel (OLAP cubes).

  • Writing advanced DAX measures.

• ~35% of the time

  • Enhancing the analytical data warehouse (DWH).

  • Designing data models for BI needs, creating new business entities not present in source systems, and performing gradual refactoring of legacy structures.

• ~25% of the time

  • Developing complex ETL processes in Python (API integrations, parsing, custom scripts).

  • Maintaining pipelines in Apache Airflow.

• Additional responsibilities

  • Analyzing, reverse‑engineering, and optimizing existing data structures.

  • Writing complex SQL queries (PostgreSQL, MariaDB) and analyzing T‑SQL to understand the structure of MS SQL–based systems.

  • Configuring and supporting automations in Power Automate (e.g., auto‑refreshing Excel reports, Outlook email flows).

  • Ensuring data consistency, identifying metric discrepancies across CRM databases, and resolving anomalies.

  • Collaborating with stakeholders to translate business requirements into technical BI solutions.

• Nice to Have

• Experience implementing data governance practices and access control models.

• Understanding metrics relevant to hospitality or POS systems.

• 3+ years of experience as a BI Engineer, Data Engineer, or similar role.

• Strong practical experience with Power BI: advanced DAX, data modeling, and Power BI Service administration.

• Confident work with Excel OLAP cubes, including writing formulas and building queries to semantic Power BI models (standard Excel tables alone are not sufficient).

• Strong knowledge of Python for writing complex ETL scripts, working with external APIs, and parsing data (not just maintaining existing DAGs).

• Understanding the architecture of analytical DWHs, including denormalization principles and differences from classical relational databases.

• Confident SQL skills (PostgreSQL, MariaDB) and ability to read T‑SQL.

• Readiness to work with legacy: proven ability to analyze someone else’s code, unstructured data, and historical databases with limited documentation.

• Understanding of SaaS business metrics, subscription models, and CRM structures (revenue, cohorts, churn logic).

• Basic understanding of Power Automate flows and willingness to learn quickly.

• Proficiency in Russian and English.

• Working in an international company.

• Registration under the Labor Code of Armenia from the first day.

• Ability to work both remotely and in the office if desired.

• Flexible start of the working day until 11:00 GMT+3.

• Gym access package.

• Free English Courses with colleagues.

• Health insurance.

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