12 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Middle DW/BI Software Engineer (Tableau)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Middle DW/BI Software Engineer (Tableau) (Tableau, SQL): Building financial and operational dashboards, reports, and scalable data models for business decision-making with an accent on data quality, financial analytics, and enterprise data warehouse initiatives. Focus on optimizing complex SQL queries, reconciling data across platforms, and translating Finance requirements into actionable analytics.
Location: Ukraine; work type: Remote/Office
Company
delivers software engineering and data analytics solutions for business and enterprise clients.
What you will do
- Design, develop, and maintain Tableau dashboards and reports for financial and business metrics.
- Write, optimize, and maintain complex SQL queries across multiple business and financial systems.
- Translate Finance stakeholder requirements into scalable analytics solutions.
- Validate and reconcile financial data to ensure quality, consistency, and integrity.
- Partner with Data Engineering and Analytics teams on data modeling, architecture, and enterprise data warehouse initiatives.
- Perform ad-hoc analyses, communicate findings, and recommend improvements to reporting and self-service analytics.
Requirements
- 2+ years of experience in Business Intelligence, Data Analytics, Financial Analytics, or a related field.
- Hands-on experience developing interactive Tableau dashboards and reports.
- Strong SQL skills, including complex joins, large datasets, and query performance optimization.
- Experience translating business requirements into analytical solutions and communicating insights to stakeholders.
- Strong analytical and problem-solving skills with attention to data quality and accuracy.
- Upper-intermediate or higher English level required.
Nice to have
- Experience with dbt for data transformation and modeling.
- Python for data analysis, automation, or scripting.
- Financial systems or Finance and FP&A experience.
- Cloud data warehouses such as BigQuery, Snowflake, or Databricks.
- Power BI experience.
Culture & Benefits
- Remote or office-based work format.
- Collaboration with Finance, Data Engineering, and Analytics teams.
- Work on continuous improvements to reporting, data quality, and self-service analytics capabilities.
- Equal opportunity employment environment.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β