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Top Data Analyst Jobs in Warsaw
As a Treasury EMEA Long Term Forecasting Analyst, you will support long-term forecasting of balance sheet and liquidity parameters, work with various stakeholders across EMEA, and deliver analysis for internal and regulatory requirements. In collaboration with Corporate Treasury and ALM, you'll develop liquidity risk metrics and contribute to the overall efficiency of the forecasting process.
As a Data Analyst at Capco, you will support the Global Risk Analytics Data Environment platform, ensuring data quality, governance, and compliance. You'll collaborate with model development and monitoring teams, create ETL pipelines, and design roadmaps for data architecture. Effective stakeholder communication and project management are key to driving process improvements and meeting business needs.
As a Product Analyst, you will collaborate with Product Managers and UX Designers to enhance Ads products. Your responsibilities include conducting analyses, supporting A/B tests, making recommendations, and communicating insights to stakeholders effectively.
The ALM Data Analyst will engage in understanding complex data and ETL processes, maintain data flows, and support the development of data quality controls and reporting solutions, particularly in PowerBI. This role requires collaboration with business and IT teams to translate requirements into effective data solutions in the banking sector.
The Senior Experimentation Data Analyst at Surfshark will lead analytics efforts related to A/B testing, collaborate with stakeholders for data requirements, analyze user behavior, automate reporting, and build dashboards for insightful decision-making.
The Global HR Analyst will lead HR data projects that support Haleon's People Strategy, conducting analyses, preparing presentations, and collaborating with HR stakeholders to provide analytical solutions. Responsibilities include managing data privacy, implementing HR initiatives, and supporting dashboard users.
The Data Analyst will perform data analytic activities, including source investigation, report preparation, dashboard creation, and process optimization. The role involves assessing data quality, analyzing regulations, and preparing functional documentation, working collaboratively within teams to support data management and risk reporting in a banking context.
As a Master Data Analyst for Trade Compliance at Alcon, you will manage trade compliance master data, determine HTS/ECCN classifications, and provide transactional support to customs brokers. You'll maintain data elements related to import/export regulations and contribute to the development of Alcon's global trade compliance program. Analytical support for various projects will also be part of your responsibilities.
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The ALM Market Risk Data Analyst will manage complex data structures within ALM risk and Balance Sheet Management. Responsibilities include gathering functional data requirements, translating them into technical specifications, and implementing solutions across business and IT. The role requires strong analytical, project management, and stakeholder communication skills, working collaboratively within an international team to improve data techniques and quality controls.
The Marketing Data Analyst will measure and report on marketing campaign performance, create analytical reports and dashboards, analyze user behavior patterns, and provide insights to enhance marketing strategies. Responsibilities also include managing app attribution tools and supporting the marketing team with technical issues.
As a Marketing Data Analyst, you will analyze performance marketing campaigns, provide actionable insights, develop SQL queries for large datasets, use Python/R for data analysis, and create dashboards to visualize marketing metrics. Collaboration with the marketing team to optimize campaigns through data-driven recommendations is key.
The Supply Chain Management Data Analyst will design data collection strategies, clean and prepare data for analysis, create dashboards and reports using Power BI and Celonis, and conduct data analysis to identify improvements in supply chain processes. This role involves collaboration across various teams and providing insights to stakeholders.
As a (Senior) Product Data Analyst, you will perform analyses for B2B client reporting, generate and maintain internal reports for customer success, ensure data quality, collaborate with various teams, and mentor team members in analytics best practices.
As a Product Data Analyst, you will perform analyses on client reporting tools, create and maintain internal dashboards, ensure data quality, and collaborate with various teams to enhance client reporting capabilities. You will also mentor team members in analytics best practices.
As a Product Data Analyst, you will analyze client usage of reporting tools, generate internal reports for the success team, ensure data quality, manage documentation, and mentor team members. Your role will involve collaborating with various teams to provide insights and improve client reporting experiences.
As a Data Analyst at Edge & Node, you'll translate business requests into actionable insights, manage data transformations, build dashboards, and collaborate with cross-functional teams to improve analytics workflows and deliver accurate data.
The Manager of Data Insights for International Customers will lead efforts in data analysis and implementation of data and digital strategies for international customers. The role includes fostering collaboration, monitoring data tool implementations, providing insights for business reviews, and ensuring compliance with policies.
The Product Data Analyst will analyze client usage of reporting tools, maintain internal dashboards, ensure data quality, update documentation, and collaborate with the customer success team to drive insights. The role requires mentoring and promoting analytics best practices within the organization.
The Game Data Analyst will analyze and visualize data from the World of Warships franchise, provide BI reports, identify metrics for new functionalities, and consult with teams to enhance decision-making processes. The role involves close collaboration with production teams and requires strong SQL and data visualization skills.
The Senior Data Analyst will improve operational processes at Glovo Poland by creating dashboards, optimizing workflows, and analyzing data related to key performance indicators. The role collaborates with various teams to enhance user experience and operational efficiency while generating insights from data analytics.
As a Business Analyst, you will collaborate with a Tier 1 Wholesale Bank to modernize its technology architecture, focusing on credit risk management. Responsibilities include leading business requirement production, developing architectural designs, utilizing JIRA for task tracking, and supporting transformation activities post-implementation.
The Senior Data Analyst will optimize real estate portfolio forecasts, conduct scenario planning analysis, ensure data integrity, and deliver insights through reporting. This role requires collaboration with various teams and proactive client engagement, while also seeking to automate processes and improve workflows in a dynamic environment.
The Data Analyst will analyze experiment data, build dashboards, and provide decision support to optimize conversion rates and revenue. Key tasks include performing analyses, improving user flows, and automating processes, collaborating with multiple teams.
As a Senior Data Analyst, you will define and source data for insights, conduct data mapping and lineage, support data migrations, and manage data quality for financial services projects. You will collaborate with stakeholders and track data pipeline development activities.
The Senior Data Analyst will implement comprehensive web analytics solutions using tools like Google Analytics and Campaign Manager, design and conduct A/B tests, troubleshoot tracking errors, and enhance reporting solutions based on BigQuery and Tableau. Responsibilities include performing analytics, creating reports, and integrating data, alongside collaboration with digital analytics and data science teams.
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