Top Data Analyst Jobs in Romania

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.

Translate business requirements into data logic, specifications and metadata; create data models, workflows and documentation; ensure data quality, lineage, privacy and security; support DevOps and architects; design/execute functional tests; manage stakeholders and improve governance and delivery.

Translate business requirements into data logic, specifications, metadata and validations to ensure governed, traceable, high-quality data. Create data models, documentation, tests and dashboards; collaborate with architects and DevOps, manage stakeholders, improve data quality and governance, and support retail data products.

Acts as the bridge between business stakeholders and data teams by gathering requirements, defining functional specifications, documenting data mappings and ETL/ELT processes, supporting Databricks data pipeline development, establishing data quality rules, and leading testing and UAT. The role performs impact and root cause analysis, ensures data traceability, and validates successful implementation of data solutions.

Performs source-to-target data mapping for banking system migrations, defining transformation, derivation, lookup, reconciliation, and loading rules. Analyzes legacy systems, profiles and cleanses data, validates mapping logic with business stakeholders and vendors, and ensures regulatory field coverage. Supports SQL transformations, migration-tool configuration, cutover planning, dry runs, go-live execution, and financial reconciliation while maintaining mapping documentation and status reporting.

The Senior Project Controls Analyst will manage project controls, analyze cost and schedule data, participate in reporting, and support financial performance analysis for projects.

Unify and model data from multiple sources, define global data standards, create source-to-target mappings, and support data quality, lineage, and governance. The role analyzes stakeholder requirements, coaches colleagues on data models, designs solutions, manages product backlogs and release plans, reports progress, and helps mitigate delivery impediments. Candidates need data management expertise, strong SQL, banking or risk knowledge, regulatory change experience, Agile experience, and advanced English.

Analyzes clinical and operational data for centralized monitoring and risk-based quality management. Supports Data Surveillance Plan development, configures surveillance technologies, identifies trends, outliers, and data quality issues, documents findings, and escalates risks. Participates in project, investigator, audit, and regulatory meetings, collaborates with global teams, and supports client-ready reporting and issue management.

Analyze and model data from 20+ countries to support KYC/KYC-related applications (Transaction Monitoring, CDD, Screening). Define data requirements, ensure data quality and governance, support incident fixes, translate regulatory requirements into functional designs, and collaborate across international stakeholders to optimize and automate data processes.

Act as liaison between business/IT stakeholders and the development squad for IPA SDM and TradeStore. Elicit, analyze and translate business and data requirements into user stories/specifications with acceptance criteria. Define data quality rules, support testing and regression automation, investigate defects, present sprint deliveries, maintain documentation, and drive continuous delivery improvements in an Agile environment.

Work on ESG-related data and platforms: define global data definitions, create conceptual models and mappings, specify data quality/lineage/governance requirements, support developers, coach stakeholders, report progress, solve complex IT problems, and improve standards while collaborating with interdisciplinary teams in an Agile environment.

Work with business stakeholders to define and clarify data requirements, create conceptual and logical data models, write specifications for engineers to ingest and structure data into the data lake, design test scenarios and perform functional testing, and maintain metadata (data dictionary). Define data quality, lineage, privacy and security requirements, align with architects on data lake implementation, drive process improvements, and responsibly apply AI tools to streamline tasks.

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.

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.