Business Intelligence Manager

Quick Facts

Lead a BI/DWH team and drive reporting & analytics used for company-wide decision-making.

Description

Lead and develop BI/DWH specialists, ensuring the stability and growth of BI/DWH solutions. Own reporting, analytics, and data outputs across the organization, aligning stakeholder priorities between business and IT. Drive automation and continuous improvement, and contribute to data architecture, data modeling, data quality, and data governance principles.

Responsibilities

• Lead and prioritize a BI/DWH specialist team; set team direction.
• Ensure development, stability, and support of BI/DWH solutions.
• Deliver high-quality reporting, analysis, and data outputs for decision-making.
• Manage stakeholder priorities and requirements; translate business needs into functional data solutions.
• Identify opportunities to automate and improve reporting and data processes.
• Participate in key data and technology projects and collaborate with local and international teams.
• Contribute to the evolution of the BI/DWH roadmap, including data architecture, modeling, data quality, and data governance principles.

Requirements

• 3–5+ years of experience in BI, DWH, data analytics, or reporting.
• Experience managing and developing people.
• Strong understanding of BI/DWH, data modeling, reporting, and data warehouse work.
• SQL proficiency and experience with database technologies (e.g., MS SQL Server or Oracle).
• Experience with BI/reporting tools (e.g., Power BI).
• Preferred: experience with ETL/ELT, Python, or cloud data platforms.
• Ability to manage multiple priorities, align stakeholder expectations, and communicate effectively with business and IT.
• Analytical, structured problem-solving mindset with a drive to complete tasks.
• English proficiency at least B2.
• Very strong stakeholder management skills across different organizational levels; ability to negotiate priorities and find trade-offs within available team capacity.

Benefits

• Meaningful work with real impact on how the organization uses data and develops its data environment.
• Friendly, open team culture with strong peer support.
• Flexible schedule with a 37.5-hour workweek and option for home office.
• Cafeteria benefits system, 30 days of vacation, and additional employee benefits.