Top Data Analyst Jobs in Romania

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Collaborate with customers, business partners, and engineering teams to translate requirements into data solutions and resolve complex analytical challenges. Apply AI and automation technologies to improve workflows, while supporting data quality, governance, mappings, transformations, and schema normalization.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain Power BI dashboards, develop ETL/ELT pipelines, write optimized SQL queries, and model data across multiple sources. Engage customers, business partners, and engineering teams to translate requirements into data solutions. Support data quality, governance, transformation, and schema normalization while applying generative AI and LLM technologies to improve analytical workflows and operational efficiency.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Engage customers and internal stakeholders to translate business needs into data solutions, improve data quality and governance, and apply generative AI and LLM technologies to automate workflows and enhance analytics.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

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.

Analyze and visualize large-scale IT infrastructure and asset data. Build ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Engage customers and engineering stakeholders to translate business needs into data solutions, improve data quality and governance, and integrate AI technologies into analytical workflows.

Analyze and visualize large-scale IT infrastructure and asset data. Build Power BI dashboards, develop ETL/ELT pipelines, write optimized SQL queries, and model data across multiple sources. Engage customers, business partners, and engineering teams to define requirements and resolve complex data challenges. Apply AI and automation technologies to improve workflows, while supporting data quality, governance, transformation, mapping, and schema normalization.

Analyze and model data from more than 20 countries supporting global KYC, AML, fraud, sanctions, and compliance services. Define data requirements, controls, quality standards, mappings, and roadmaps; investigate incidents; translate business and regulatory needs into functional designs; optimize processes; and collaborate with international business and technical stakeholders in an Agile environment.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Supports EMEA transportation and logistics initiatives through data analysis, reporting, KPI monitoring, cost analysis, rate comparisons, and process optimization. The role maintains recurring and ad hoc reports, analyzes carrier and transportation performance, consolidates data from multiple systems, supports sourcing decisions, and collaborates with logistics teams, carriers, manufacturing sites, and other stakeholders.

Analyze transportation and logistics data across EMEA to improve supply chain efficiency. Responsibilities include creating reports, monitoring carrier and transportation KPIs, conducting cost and rate analyses, supporting sourcing decisions, maintaining logistics data, and developing insights for transportation mode optimization. The role collaborates with logistics teams, carriers, service providers, manufacturing sites, and sales offices while supporting continuous improvement and data-driven 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.

Build finance dashboards, KPIs, and standardized reporting in Power BI; develop SQL data transformations; automate reporting with Python, Power Automate, and RPA; and improve governed datasets, data quality, and analytics workflows. The role partners with Finance and technical stakeholders, supports cloud and on-premises data movement, applies LLMs responsibly, and contributes to AI/ML use cases such as anomaly detection, forecasting, and intelligent automation.

Manage global pricing and cost activities for existing business and new launches. Develop pricing tools, analyze competition and market prices, track profitability, evaluate quotes, and assess cost or price impacts. Collaborate with Sales, Product Management, Marketing, Engineering, and Business Management to establish pricing strategies, discount structures, guidelines, and improvement initiatives. Use SAP, Excel, Power BI, macros, and automation to derive insights and support profitable growth.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Analyzes sales data across customers, regions, products, pricing, and margins to identify trends, performance drivers, opportunities, and variances. Collects and consolidates information from SAP, Power BI, Salesforce, Excel, and other sources; builds reports, dashboards, pivot tables, charts, and presentations; maintains reporting tools; and provides actionable insights supporting business development decisions.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Analyzes business requirements for data and IT systems, assessing feasibility, risks, impacts, and effort. Translates requirements into functional and non-functional specifications, supports solution design, development, testing, and post-implementation stabilization. Performs functional and gap analysis for application acquisition and maintains project documentation. The role requires SQL expertise, experience with data warehouse or reporting implementations, and financial services knowledge.

Senior Business Systems Analyst serving as the bridge between business stakeholders and data teams. Responsibilities include gathering requirements, defining functional specifications, documenting data mappings and ETL/ELT processes, supporting Databricks data solutions, establishing data quality rules, defining test scenarios, participating in UAT, validating implementations, and investigating defects. The role requires strong SQL, data platform knowledge, Agile experience, and effective communication across business and technical teams.

Leads Salesforce data stewardship across requirements, migration, cleansing, governance, quality monitoring, issue remediation, and cutover readiness. Defines data standards, field rules, validation criteria, and documentation while coordinating business and technical teams. Supports integrations, reporting impacts, compliance, audit activities, user training, and data quality improvement. Requires Salesforce Data Cloud certification, strong data management experience, and approximately 10–20% global travel.

Leads Salesforce enterprise data governance, hygiene, quality, privacy, compliance, and Data Cloud operating standards. Establishes data rules, stewardship models, identity resolution practices, remediation processes, metrics, and executive reporting. Partners with security, legal, architecture, integration, MDM, ERP, and AI teams to ensure trusted, compliant data. Requires Salesforce Data Cloud certification, a bachelor’s degree, and 7+ years of relevant experience. Includes approximately 10–20% global travel.