Data Analyst: PowerBI, SQL & AWS Data Pipelines

DS Smith Plc; Kraków; On-site; PLN 110,000 - 160,000; Full time

Job summary

DS Smith Plc in Kraków is seeking a Data Analyst to design, deliver, and maintain data pipelines, datasets and analytics solutions aligned with the PRC & PSP division's cloud and digital manufacturing strategy.

You will work with data engineers and PowerBI developers, build dashboards, optimize SQL queries, and ensure data governance, quality, and security across cloud platforms such as AWS or Azure.

Qualifications

• Bachelor’s degree in technology, analytics or business-related field.
• 3+ years in data analytics, BI development or data engineering.
• Proficient in SQL and Python for data processing.
• Experience with cloud platforms (AWS or Azure).
• Strong cross-functional collaboration and stakeholder communication.
• Fluent in English; additional languages are a plus.

Responsibilities

• Develop and maintain PowerBI dashboards with solid data modelling.
• Write and optimize SQL queries and DAX expressions for reporting.
• Manage PowerBI workspace access, lineage and releases.
• Build and maintain data pipelines from source to end users.
• Integrate analytics solutions in the cloud data platform (AWS/Azure).
• Maintain data quality, troubleshoot issues, and monitor pipelines.
• Coordinate with data engineers and enforce development standards.
• Collaborate with stakeholders to translate data needs into deliverables.
• Document data lineage, ETL processes and data catalog.

Skills

SQL

Python

PowerBI

Data analysis

Data modelling

Stakeholder communication

Education

Bachelor's degree in technology/analytics/business

Tools

AWS

Azure

Power BI

Job description

DS Smith Plc in Kraków is seeking a Data Analyst to design, deliver, and maintain data pipelines, datasets and analytics solutions aligned with the PRC & PSP division's cloud and digital manufacturing strategy.

You will work with data engineers and PowerBI developers, build dashboards, optimize SQL queries, and ensure data governance, quality, and security across cloud platforms such as AWS or Azure.