Senior Data Analyst (PowerBI + SQL)

ITConnect Sp. z o.o.; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Job summary

ITConnect Sp. z o.o. seeks a highly skilled BI/Data Analyst with 5+ years of corporate data experience. You will analyze business processes, translate needs into data-driven insights, and own Power BI reports and data models.

You will write and optimize SQL queries across large datasets, ensure data quality and security, and collaborate with stakeholders to define requirements, KPIs, and reporting needs. Databricks experience is a plus.

Qualifications

• Analyze business processes and translate needs into 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 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).
• Business Analysis focused on data, process efficiency, and security, with clear user stories and stakeholder alignment.
• Advanced Power BI proficiency including dynamic reports, dashboards, visuals, data modeling and query optimization.
• Strong SQL skills including efficient queries and complex data transformations across large datasets in corporate environments.

Responsibilities

• 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).
• Business Analysis expertise focused on data, process efficiency, and security, including gathering and analyzing business needs and ensuring alignment between stakeholders and technical teams.
• Advanced Power BI proficiency, including designing dynamic reports, interactive dashboards, advanced data visualizations, data modeling, query optimization, and integration of diverse data sources.
• Strong SQL skills, including writing efficient queries and managing complex data transformations across large datasets.

Skills

Power BI

SQL

Databricks

Business Analysis

Data modeling

Data quality

Job description

We are seeking a highly skilled professional with balanced expertise in requirements gathering and Power BI development. The role combines data, technology, and business operations, requiring a minimum of 5 years of corporate experience in the data domain.

• 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).
• Business Analysis expertise focused on data, process efficiency, and security, including gathering and analyzing business needs, translating them into clear, well-structured user stories, and ensuring alignment between stakeholders and technical teams.
• Advanced Power BI proficiency, including designing dynamic reports, interactive dashboards, advanced data visualizations, data modeling, query optimization, and integration of diverse data sources.
• Strong SQL skills, including writing efficient queries and managing complex data transformations across large datasets in corporate environments.