Top Data Analyst Jobs in Poland

This role involves supporting the modeling team by gathering and aggregating data, cleaning and transforming data, and designing ETL pipelines for improved data workflows.

The role involves analyzing complex datasets for actionable insights, creating reports, managing stakeholder needs, and improving data processes with minimal supervision.

The role involves analyzing complex data sets, creating insightful reports and visualizations, and supporting strategic decision-making in procurement and supply chain operations.

The role involves analyzing fraud patterns, preparing reports, writing protective rules, and collaborating with clients and teams to combat cybercrime.

The Data Analyst will model and analyze HR data using Snowflake and dbt to create scalable datasets for reporting and AI applications.

The Psychometric Properties Data Analyst Manager oversees psychometric evaluation of Clinical Outcome Assessments, ensuring data quality and methodological accuracy. Responsibilities include curating psychometric data within the COA Accelerator platform and collaborating with stakeholders to enhance data models.

The Data Analyst will assist with visa/VOE case history, data entry for new hires, and resolve employee queries using HRMS while ensuring quality and compliance.

As a Game Data Analyst, you'll analyze player behavior, evaluate game mechanics, produce actionable insights, and collaborate with diverse teams.

As a Game Data Analyst, you'll analyze player data to improve game mechanics and provide actionable insights to support business decisions.

The Senior BI Data Analyst will collect, process, and analyze business data to enhance reporting and decision-making using BI technologies while ensuring data compliance and security.

The Data Analyst will analyze large datasets, create Power BI reports, detect trends and anomalies, and support business case developments to enable data-driven decisions.

As a Marketing Science Analyst, you'll analyze consumer behavior, develop statistical models, and collaborate with teams to derive insights for better decision-making and business performance.

This role involves designing data architecture, building data transformation pipelines, and maintaining Power BI and Azure solutions. You will ensure data quality and support business intelligence reporting.

The Senior Marketing Data Analyst will build analytics solutions, design data models, create dashboards, and enable data literacy to support marketing decisions.

The Senior Reporting & Data Analyst will create and manage reporting and analytics for Diabetes Customer Service and Supply Chain to transform data into insights for leadership. Responsibilities include designing dashboards, improving data quality, and partnering with stakeholders.

The Human Resources Data Analyst will analyze data trends, provide reports, and support HR management policies, requiring strong analytical and communication skills.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

The Middle Data Analyst will analyze large datasets, collaborate with Data Scientists, conduct exploratory data analysis, and provide analytics-based recommendations to support business strategy within an AdTech platform.

Analyze fraud and risk data to identify suspicious patterns, enhance fraud defenses, and generate reports for leadership teams.

As a Senior Data Analyst, you'll drive data-driven decisions, enhance app development, and influence outcomes through deep analysis and collaboration.

The Data Analyst will validate A/B tests, conduct data analysis using Python, develop dashboards, and provide insights to enhance product and data processes.

Serve as liaison between business stakeholders and engineering to design, maintain, and improve Oracle CDM customer and supplier data solutions. Perform data profiling, mapping, gap analysis, requirements gathering, process modeling, UAT definition/execution, and stakeholder facilitation to ensure data quality and alignment with global business processes.

The eTrading Analyst role involves supporting electronic trading platforms and client onboarding, improving data quality, and driving process optimization through automation.