Top Data Analyst Jobs in Romania

As a Data Analyst, you will label and annotate datasets, ensure labeling accuracy, gather and preprocess data, perform exploratory data analysis, create visualizations, and support MLOps pipelines in the cybersecurity domain.

The Data Analyst will gather and analyze investment data from public and private companies, assisting credit asset managers in Europe and the US.

Support SEE Growth by tracking KPIs, building scalable reporting, performing ad-hoc and campaign analyses, collaborating with cross-functional teams on marketing activations, monitoring competitors, and turning data into actionable insights to improve performance.

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

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.

Design, build, and maintain dashboards and reports; perform ad-hoc analyses and data validation using SQL; implement row-level security; collaborate with Analytics Engineers and stakeholders to enable self-service analytics and improve reporting on modern data platforms.

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.

Design and build scalable ETL/analytics pipelines and curated datasets from multiple ERPs, create SQL-based reporting and BI dashboards, collaborate with stakeholders to define KPIs, and ensure multi-tenant, performant, documented data products that scale across customers.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Analyze and integrate data from multiple platforms, build KPI tracking and automated reports, and create customized dashboards and management presentations to support decision-making. Administer requirements databases and collaborate with engineering managers and stakeholders; occasionally travel for business.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Data Analyst will support the Reporting & Analytics team by delivering reports, consolidating data, translating business needs, and improving data governance.

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

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.

Analyse customer data and define requirements using Looker and BigQuery. Build visualisations and reports, investigate data quality, document processes, train clients, and improve internal analytics tooling.

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.

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.

The Senior Data Analyst will lead A/B testing for Paper.io 2, analyze complex datasets, provide actionable insights, and collaborate with teams to optimize game performance.

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.

Work with business stakeholders to gather and clarify data-related requirements, assess feasibility and impact, turn requirements into functional/non-functional specs, support solution design, development, testing and post-implementation stabilization, and perform functional/gap analysis for application acquisitions.

Analyze clinical and operational study data to support Data Surveillance: develop Data Surveillance Plans, configure surveillance technologies, identify trends/outliers/risks, document and present findings, support reviews/audits, escalate issues, complete central monitoring reports, and ensure ICH-GCP and SOP compliance.