Top Data Analyst Jobs in Warsaw

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

Analyze large datasets and validate data using SQL and Python. Develop KPIs, maintain reports, and present insights to business stakeholders.

The Senior Marketing Data Analyst will analyze data to improve marketing efficiency, build automation scripts, collaborate with teams on data workflows, and develop analytical dashboards while communicating insights effectively.

The Data Analyst role focuses on implementing business intelligence solutions, designing dashboards in Tableau, preparing data for reporting, and analyzing business processes, while engaging with clients and maintaining BI platforms.

The Data Analyst will support the French Valuation team with property analysis, market research, valuation reports, and various recurring valuation tasks, ensuring collaboration through MS Teams and email.

Collaborate with Capital Markets teams to conduct property research, prepare presentations, and maintain project data in a hybrid role.

The Senior Business Data Analyst will analyze data to identify compliance risks, develop dashboards and reports, and collaborate with stakeholders. The role demands strong analytics, programming skills, and knowledge of compliance and risk management.

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

As a Senior Big Data Analyst at InPost Group, you will analyze large volumes of data, support stakeholder decisions, design data models, and collaborate with teams to deliver integrated data solutions.

The role focuses on analyzing sports data to develop KPIs, generate insights, and improve product performance for Sportradar's Live Data services.

Analyze experiment data to drive improvements in online security and privacy tools. Collaborate with various teams and optimize conversion rates.

The role involves integrating data systems, providing analytics reports, managing databases, and collaborating across teams to improve resource management.

The Data Scientist will focus on product growth by analyzing user engagement and driving insights into activation, retention, and monetization across the Creative Platform.

The Data Analyst drives growth by monitoring key metrics, performing deep-dive analyses, and providing actionable insights to optimize product performance.

The Data Analyst will work in ALM processes, liaising between stakeholders and developers, focusing on data requirements, ETL processes, and financial data flows, and providing reporting solutions.

As a Staff Product Data Analyst, you'll analyze customer behavior and product usage to influence product and marketing strategies, develop dashboards, and collaborate with cross-functional teams to drive data-driven decisions.

Analyze large datasets using SQL and Python, validate data, develop KPIs, translate business problems into insights, and collaborate with teams.

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.

As a Data Analyst at PerkinElmer, support data-driven decision-making, analyze data trends, develop dashboards, ensure data quality, and communicate insights effectively.

The Data Analyst will generate insights to influence product decisions, collaborate with teams, develop data models, visualize data, and manage analytics processes.

The Customer Data Analyst will track and analyze customer usage metrics to enhance product-led growth, anticipate churn, and refine pricing strategies, while creating intuitive dashboards and frameworks for actionable insights.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Data Analyst will analyze complex datasets, build dashboards, collaborate with teams, and provide actionable insights to inform business decisions.

The Data Analyst will support data operations, assist with complex data analysis, and contribute to data quality initiatives, working with SQL and Python.