Top Data Analyst Jobs in Cologne

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.

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.

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.

Analyze Gecko browser-engine telemetry across Desktop and Android, building dashboards, auditing data collection, sanitizing bot and hardware-related noise, and producing statistical analyses linking technical performance to user behavior. The role translates engineering data into product and leadership insights, supports performance prioritization, and requires independent problem-solving across unfamiliar technical domains.

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.

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.

Leads business analysis for global data, reporting, analytics, and data-platform initiatives. Gathers and translates business requirements into functional specifications, user stories, process maps, dashboards, data products, and delivery outcomes. Coordinates stakeholders, solution definition, testing, user acceptance, adoption, governance, data quality, security, and ongoing enhancements. Supports Microsoft Fabric, Power BI, ETL, data warehousing, semantic models, and governed analytics capabilities.

Leads scalable data modeling and analytics initiatives using dbt, SQL, Databricks, and Power BI. Partners with product and business stakeholders to translate requirements into data solutions, develops dashboards and semantic models, supports cloud migration, and improves analytics platform performance. The role also mentors colleagues, promotes analytics best practices, trains users, and contributes to AI-enabled capabilities such as Talk to Data.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Lead design and delivery of scalable analytics solutions using dbt, SQL, Databricks and Microsoft Fabric. Build Power BI dashboards and semantic models, collaborate with product and business stakeholders, modernise cloud analytics, mentor analysts, and promote analytics best practices including AI-assisted capabilities.

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.

Trace and document client, account, fund, holding, and position records across legacy source systems. Work with German-speaking system owners to understand data structures, identifiers, documentation, and record definitions. Specify extraction, transformation, and loading rules; coordinate with mainframe platform teams; define downstream data requirements; and reconcile migrated records to prove completeness and accuracy. The role requires fluent German and English, securities-services domain knowledge, hands-on data profiling and reconciliation experience, mainframe familiarity, and on-site work in Düsseldorf.

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.

As a Senior Data Analyst in Operations, you'll analyze data to provide insights that drive business decisions, enhance performance, and support strategic initiatives.