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Top Data Analyst Jobs in Poland
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 Business Systems Analyst at Motorola Solutions, you will manage the Oracle Product Data Hub, analyze business processes, gather requirements, and implement technology solutions. Your role involves testing, training, and providing support for systems while collaborating with cross-functional teams to streamline product data management processes.
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 Game Data Analyst will analyze game data to understand player needs, evaluate game mechanics, and provide actionable recommendations. Responsibilities include conducting ad-hoc analyses, identifying solutions leveraging game data and market knowledge, and participating in analytics team support.
The Junior Master Data Analyst ensures timely resolution of ServiceNow requests, supports various projects, prepares SOX controls, and provides team backup. Responsibilities include processing requests according to SLAs, identifying process improvement opportunities, maintaining quality controls, and managing master data related to vendors and employees.
As a Master Data Analyst, you will manage vendor and purchasing master data, conduct data analysis and reporting, resolve data issues, and ensure data quality. You will collaborate with internal stakeholders, optimize master data performance, and create operational reports and dashboards to support decision-making.
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The Data Analyst is responsible for collecting, cleaning, analyzing, and interpreting data to solve business problems. Key duties include data processing, employing statistical methods to analyze data trends, creating reports and visualizations, and collaborating with various departments to fulfill their data needs.
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 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.
The R&D Finance Data Analyst/Steward at GSK will oversee all R&D Finance Data, ensuring data definitions and standards are maintained. Responsibilities include stakeholder management, KPI maintenance, data quality assessment, trend analysis, and representing R&D Finance in governance forums.
The R&D Data Analyst/Manager will be responsible for managing and maintaining R&D Finance Data, ensuring consistency and adherence to data standards. They will assess business requirements, support data remediation efforts, manage master data, and lead initiatives for data transformation. The role demands strong stakeholder management and expertise in finance data within the pharmaceutical sector.
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.
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 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 (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 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 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.
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.
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.
As a Financial Data Analyst, you'll be responsible for data collection for monthly reports, reconciliation of invoices and accounting balances, improving the reporting process, and preparing non-standard reports for management.
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.
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