Top Data Analyst Jobs in Romania

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Manage global pricing and cost activities for existing business and new launches. Develop pricing tools, competition analyses, market price maps, margin improvement initiatives, and customer pricing structures. Evaluate business cases and price or cost impacts while monitoring profitability. Collaborate with Sales, Product Management, Marketing, Engineering, and Business Management to implement pricing strategies, guidelines, dashboards, and sustainable growth initiatives.

Analyzes operational data for Client Services, creates and automates management reports, identifies performance issues, and delivers actionable insights and recommendations. The role translates stakeholder needs into analytical requirements, defines data requirements, develops quantitative and qualitative reporting, performs ad hoc analysis using Excel, SQL, Power BI, SAS, Cognos, and Access, and serves as the key data contact for business teams.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Lead and operate Americas forecasting processes, automate forecasting workflows, manage data movement between systems, ensure data integrity, build validation controls, support HFM/EPM/OneStream, and deliver ad hoc reporting and automation projects.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

Processes and validates complex air freight data, supports customer data requests, investigates quality issues, and develops Python- and Excel-based automation. The role collaborates with Customer Success, Sales, Data Science, Market Analysis, Technology, and Product teams to improve data workflows, scalability, reliability, and customer insights.

Owns end-to-end regulatory data analysis and implementation for the Dutch Deposit Guarantee Scheme. Translates DNB and SCV requirements into business rules, mappings, data definitions, controls, and backlog items. Performs multi-source data analysis, lineage and metadata management, data-quality investigations, governance documentation, and remediation coordination. Partners with Product, Data, Technology, Finance, Risk, Compliance, and Regulatory Reporting stakeholders across countries to deliver regulatory milestones and coach colleagues.

Monitor and analyze data activity to identify unauthorized transfers and data leakage incidents. Use DLP metadata to support incident response and forensic investigations, contain incidents, document actions, assess business impact, escalate appropriately, and report to stakeholders. The role also contributes to process improvements, detection-rule tuning, and broader information security initiatives.

Analyzes and models data from more than 20 countries to support global KYC services, including transaction monitoring, customer due diligence, and screening. Defines data requirements, quality controls, governance, mappings, and roadmaps while translating business needs into functional solutions. Collaborates with international business and technical stakeholders to improve processes, automate workflows, resolve incidents, and support compliance, anti-money laundering, fraud prevention, and financial crime initiatives.

Analyzes business requirements and their impact on IT systems, translates them into functional and non-functional specifications, supports solution design, development, testing, implementation, and stabilization. Performs feasibility, risk, effort, gap, and functional analysis for data management solutions, including data warehouses and reporting systems. Collaborates with business and IT teams and maintains project documentation.

Leads Americas financial forecasting across business units, owning P&L forecast compilation, validation, consolidation, and system loading. Develops Python and RPA automation, manages financial data across ERP and planning systems, builds dashboards, improves data quality, and supports finance transformation initiatives. Partners with Finance and IT on requirements, testing, integrations, process redesign, reporting, and root-cause analysis.

Own and validate container shipping service data, monitor vessel movements and schedule changes, investigate data-quality issues, query relational databases, support customer data requests, and maintain forecast accuracy. The role requires strong analytical thinking, attention to detail, English fluency, and independent collaboration across time zones. Familiarity with SQL, Power BI, AI tools, and ocean freight operations is beneficial.

Prepare financial reports, dashboards, and management presentations; analyze financial and operational performance; support forecasting, budgeting, and month-end close; develop reporting solutions and data models; maintain data quality; perform ad hoc analysis; automate reporting and business intelligence initiatives; and support strategic and operational projects.

Administer and support Planisware PPM systems, ensure data integrity, build automated reports and interactive dashboards (Google Data Studio/SAP Analytics Cloud), develop Excel/Sheets macros, extract/clean project data, and support PMO stakeholders with KPI reporting and documentation.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Coordinates end-to-end data usage requests, helping business teams define needs and validating implementation conditions with legal, compliance, security, and IT stakeholders. Applies data governance standards, monitors KPIs and SLAs, tracks deliverables and budgets, supports reporting, escalates sensitive requests, and improves data usage processes. The role requires strong analytical, communication, project coordination, compliance, and stakeholder management skills, along with fluency in French and English.

The Junior Data Analyst will support the analytics team by delivering reports, maintaining analytics solutions, and collaborating on data improvements while engaging with stakeholders.

Analyzes clinical and operational data to support risk-based quality management and data surveillance. Develops surveillance plans, configures monitoring technologies, evaluates trends and outliers, identifies data quality issues, documents findings, and supports project reviews, meetings, audits, and regulatory inspections. The role requires programming in SAS, R, or SQL, data analysis expertise, familiarity with centralized monitoring and SDTM, and strong communication skills.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Validates, processes, researches, and documents data using queries, sorting, filtering, web research, AI, public sources, and phone outreach. The analyst works with large datasets, identifies defects, verifies data accuracy, and records reproducible issues to support data transformation operations.

Validate migrated and reporting data across source and target systems, with emphasis on SQL-based reconciliation, data quality checks, ETL/ELT validation, discrepancy analysis, and root-cause investigation. Define test scenarios, validate dashboards and KPIs, document defects, and collaborate with Data Engineers and stakeholders. The role also involves testing structured and semi-structured data, profiling datasets, using Python for automation, and supporting modern cloud data-platform delivery.

Manage and ensure accuracy of channel orders, sales, POS and inventory data; analyze trends and performance (YoY/QoQ); build and maintain Power BI dashboards and scorecards; present insights and executive reports; collaborate with Finance, Supply Chain and Sales; match SKUs and maintain single source of truth for channel data.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.