Top Data Analyst Jobs in Romania

Manage and grow a portfolio of brand advertisers, support advertising campaigns, analyze performance data, prepare reports, develop pitches, identify growth opportunities, and coordinate campaign execution with cross-functional teams. The role combines SQL and Python-based analysis with client communication, campaign strategy, relationship management, and quarterly revenue planning.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.

Investigate companies, individuals, suppliers, and corporate networks to identify compliance and reputational risks. Review sanctions, PEP alerts, adverse media, ownership structures, and data discrepancies using research, compliance, and case-management tools. Analysts recommend escalation or closure, support customer workflows and monitoring, and communicate findings effectively while meeting strict deadlines.

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

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.

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.

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.

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.

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.

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.

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.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

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.

Design, build, and maintain Power BI dashboards and Microsoft Fabric data pipelines. Integrate Dynamics 365 data, ensure data quality and governance, deliver executive insights, forecasting, and strategic analysis. Partner with sales, operations, and finance leaders to translate requirements, promote self-service analytics, and document KPIs and reporting logic.

Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

Work on regulatory reporting implementation within the Financial Tribe: analyze and formalize banking regulatory requirements, model and analyze large datasets in a DWH, write and execute functional test scenarios, support users, assess project impacts, and collaborate using PL/SQL and tools like Jira, HP Quality Center and Confluence.

Manage and grow brand portfolios by analyzing campaign performance, preparing reports, supporting pitches and proposals, identifying high-potential advertisers, suggesting campaign ideas, coordinating cross-functional execution, managing partner relationships, and helping achieve quarterly revenue goals for Glovo Ads.