Top Data Analyst Jobs in Romania

Build and own a forecasting model for clinical site payments outside Medidata Payments, link forecasts with Medidata, produce client-ready deliverables, ensure revenue recognition compliance, support audits, reconciliation at study closeout, and collaborate with FP&A, Clinical Payments, Project Analysts, and other stakeholders.

Drive GTM operational excellence by managing partner inbound flows, maintaining CRM and data hygiene, producing pipeline and status reporting, coordinating stakeholder communications, and configuring platform settings and automations to improve customer operations and forecasting accuracy.

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.

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.

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

Own marketing measurement and signal engineering across Meta, Google Ads, TikTok, and other ad platforms. Build and maintain server-to-server conversion pipelines, pixels, GTM releases, attribution conventions, marketing datasets, monitoring, alerts, and performance reports. Partner with Marketing, Product, Data Engineering, and ad platform representatives to improve signal quality, campaign optimization, and conversion tracking. The role requires advanced SQL, ad technology expertise, visualization skills, tracking knowledge, and clear communication with technical and nontechnical stakeholders.

Partner with product teams to analyze customer behavior, journeys, funnels, retention, adoption, and conversion. Define KPIs, measurement frameworks, experiments, and guardrail metrics; build Amplitude dashboards, BI reports, and self-service analytics. Improve instrumentation, event taxonomies, and metric definitions while combining quantitative data with research and customer feedback. Communicate actionable insights to technical and non-technical stakeholders and promote data-driven product decision-making.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Gather business requirements, analyze and profile enterprise data, develop KPIs, reporting frameworks, and analytical models. Perform forecasting, scenario modeling, and statistical analysis, validate dashboards and reports, and collaborate with business and technical teams to support strategic workforce planning and decision-making.

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.

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.

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.

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.

Support senior stakeholders with reporting, dashboards, forecasting, and spend tracking for a large technology budget. Produce leadership-ready Excel and PowerPoint outputs, coordinate inputs from global partners, document supplier/contract data, assist with requirements and change management, and generate insights to support planning and governance.

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.

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.

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.

Analyze scientific and operational clinical trial data to support Data Surveillance. Develop Data Surveillance Plans, configure CluePoints, set KRIs and statistical parameters, conduct reviews, document findings, escalate issues, support meetings and audits, and produce central monitoring reports.