Senior Data Analyst (PowerBI + SQL)

O projekcie Location: Wrocław/ hybrid model

We are seeking a highly skilled professional with balanced expertise in both requirements gathering and Power BI development. This role is ideal for someone who thrives at the intersection of data, technology, and business operations. A minimum of 5 years of corporate experience in the data domain is required. We offer a hybrid work environment.

Zakres obowiązków

• Analyze business processes and translate business needs into actionable, data-driven insights.
• Develop, maintain, and optimize Power BI reports, dashboards, and data models.
• Write and optimize complex SQL queries to extract, transform, and validate large datasets.
• Ensure data quality, consistency, and accuracy across reporting solutions.
• Collaborate with stakeholders to define business requirements, KPIs, and reporting needs.
• Optimize existing reports and processes to improve performance and efficiency.
• Support data analysis and transformation in Databricks (nice to have).

Wymagania

• Business Analysis Expertise Focused on data, process efficiency, and security. The candidate must be adept at gathering and analyzing business needs, translating them into clear, well-structured user stories, and ensuring alignment between stakeholders and technical teams. The ability to turn complex data requirements into actionable deliverables is essential.
• Advanced Power BI Proficiency Mastery of Power BI is a core requirement. Candidates must demonstrate expertise in designing dynamic reports, interactive dashboards, and advanced data visualizations. Skills should include data modeling, query optimization, and the integration of diverse data sources.
• Strong SQL Skills Proven experience with advanced SQL, including the ability to write efficient queries and manage complex data transformations across large datasets in corporate environments.
• Basic Knowledge of Databricks (Desirable) Familiarity with Databricks and a foundational understanding of its collaborative environment for data engineering, machine learning, and analytics.