Top Data Analyst Jobs in Berlin

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 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.

Leads strategic analytics for Logistics Key Account Management, serving as the analytical authority across logistics, markets, and propositions. Responsibilities include complex problem solving, root cause analysis, KPI target definition, performance steering, scalable review procedures, continuous improvement, service-needs mapping, impact assessment, and roadmap facilitation. The role translates complex data into actionable recommendations and advises stakeholders without directly managing logistics operations.

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.

Owns data collection, analysis, reporting, and dashboard development across Sales, Product, Marketing, and executive teams. The role identifies trends, risks, and opportunities; translates complex findings into strategic recommendations; ensures data quality; supports AI and automation initiatives; and promotes data literacy. The analyst partners cross-functionally to improve business processes and inform growth decisions across a global digital art marketplace.

Own fraud-focused user segmentation for Puzzleplay. Analyze and refine fraud signals, investigate flagged users, monitor segment effectiveness, improve manual review processes, and recommend verification tools. Partner with product and data teams to develop operational fraud controls and adapt detection methods as fraud patterns evolve across markets.

Analyze large-scale marketing and user acquisition data to measure campaign performance, build automated Tableau dashboards, evaluate A/B tests, and identify growth opportunities. The role develops marketing measurement strategies, integrates attribution data from providers such as AppsFlyer and Kochava, partners with Data Engineering, and communicates actionable recommendations to technical and non-technical stakeholders.

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.

Analyze manufacturing and production data to identify performance drivers, bottlenecks, anomalies, and optimization opportunities. Build dashboards, reports, data pipelines, features, and quality metrics while collaborating with customers, AI and backend engineers, Product, and Customer Success. Translate operational insights into improvements for customer outcomes and the company’s AI analytics platform. Occasional travel to manufacturing plants is required.

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.

The Data Analyst will leverage data to provide insights, automate reporting, improve customer/vendor experiences, and help reduce returns costs at Quince.

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.

Analyze player behavior, engagement, progression, segmentation, cohorts, and A/B tests using SQL and analytical data models. Build reliable, documented datasets, support reporting and visualization, and translate findings into actionable insights for product and game teams. Collaborate cross-functionally to influence roadmap decisions and improve analytical workflows and standards.

Leads analytics within a cross-functional product team by designing scalable data models with dbt, SQL, Databricks, and Microsoft Fabric. Builds Power BI dashboards and semantic models, translates business needs into technical solutions, influences prioritization, modernizes cloud analytics products, and advances self-service and AI-assisted analytics. Mentors analysts, promotes best practices, and collaborates closely with technical and business stakeholders.

Analyze open-ended product and commercial questions to guide decisions across Product, Sales, Customer Success, and leadership. Investigate account growth, retention, expansion, product adoption, funnel performance, experimentation, and pricing. Build dbt models and Looker views to support analysis, communicate clear recommendations, and independently drive the analytical agenda using SQL, Python, BI tools, and AI tools.

Owns business and performance analysis for B2B2C products, partners, and markets. Analyzes large datasets, builds commercial and operational reports, identifies trends and opportunities, and translates findings into recommendations for senior stakeholders. Supports pricing analysis, partner reviews, benchmarking, and business cases while collaborating with Product, Sales, Finance, and Operations. Ensures reporting accuracy and consistent interpretation across dashboards and reports.

Provides independent technical data analyst support for the M2i raw materials intelligence platform. Responsibilities include designing data models and analytical datasets, integrating and validating data sources, developing and optimizing Power BI reports and Microsoft Fabric components, improving refresh performance, implementing access management and usage monitoring, performing quality assurance, documenting technical solutions, and preparing platform enhancements for future releases.

The Data Analyst will own analytics projects, develop customer-facing data products, conduct quantitative analysis, and drive decision-making through data insights.

As a Data Analyst, analyze user behavior and product performance to create reports and dashboards, collaborating with teams for data-driven insights.

Transform cloud, AI, SaaS, and on‑prem billing data into forecasts, dashboards, and optimisation recommendations. Build cost models, KPIs, automate pipelines and reporting, validate forecasting tools, drive tagging and allocation strategies, and advise clients through workshops and consulting engagements.

Analyze and process tumor-derived NGS datasets (RNA‑Seq, WES, WGS, single‑cell), develop and apply bioinformatics pipelines, interpret cancer genomics results, collaborate with multidisciplinary teams, and contribute to diagnostic solution development.

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.

Design, build and maintain interactive BI dashboards, perform exploratory analysis on commodity markets, ensure data quality and pipelines, produce KPIs and insight reports, and support stakeholders with self-service analytics and training.