Top Data Analyst Jobs in Romania

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

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.

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.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Coordinate and prepare materials for awards and Sustainable Finance initiatives: gather, validate, and format ESG data; assess ESG risk ratings and client eligibility; create slide decks, case studies, and tombstones; ensure accuracy, traceability, and timely delivery across multiple stakeholders.

Coordinate end-to-end data collection and consolidation for awards and Sustainable Finance initiatives; prepare and structure application materials and slide decks; collect, validate, and format ESG data per Front Office templates; review ESG risk ratings and assess client eligibility; create case studies and tombstones; maintain accurate, traceable workflows across stakeholders.

Prepare and analyze global financial reporting (P&L, balance sheet, cash flow, KPIs), support month-end close, forecasting, budgeting and strategic planning. Deliver BI and ad-hoc analyses, ensure data quality, drive reporting automation and digitalization (including RPA), and participate in cross-functional performance improvement and transformation projects.

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.

Analyzes clinical trial scientific and operational data to support risk-based quality management and centralized monitoring. Develops surveillance plans, configures KRIs and statistical analyses, reviews data for trends and outliers, documents findings, escalates quality issues, and collaborates with global project teams. Presents findings in internal and external meetings, supports regulatory inspections, coordinates follow-up actions, and completes central monitoring reports.

Support SEE Growth team by tracking growth KPIs, building and maintaining scalable reports/tools, enabling data access, running ad-hoc analyses, and driving marketing activations from analysis through execution.

Analyze mobile games data to track performance, design and execute A/B tests, report on user engagement, and recommend optimizations.

Serve as the bridge between business stakeholders and data teams by gathering requirements, defining functional specifications, documenting data mappings and transformations, and supporting Databricks data pipeline development. Define business rules, test scenarios, and acceptance criteria; participate in UAT, validate implementations, investigate defects, and ensure data quality and traceability. Facilitate workshops, perform impact and root cause analysis, and support successful production delivery.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Analyzes business and system requirements, assesses feasibility and risks, evaluates impacts on IT environments, and creates functional and non-functional specifications. Supports solution design, development, testing, implementation, and stabilization. Performs functional and gap analysis for application acquisitions and documents requirements. The role focuses on data management solutions, including data warehouses and reporting systems, within financial services, finance, and risk environments.

Manage and improve data governance deployment through KPI automation, dashboard development, tool administration, compliance monitoring, requirements analysis, and data catalog adoption. Build QlikSense and Google Looker reporting, automate data collection with AppScript, administer JIRA and Google Sites, support users, and ensure accurate governance metrics. Coordinate tasks and communicate reporting insights to technical and non-technical stakeholders in a multicultural environment.