Data Analyst

• Develop modern analytics platforms by working with clients
• Design scalable data architectures and ensure sustainable data governance
• Support clients in modernizing data warehouses and data lakehouses
• Establish best practices for analytics engineering, data quality, automation, and DataOps
• Analyze business requirements and translate them into scalable data models and analytics solutions
• Bridge the gap between management, business units, and engineering teams
• Lead interdisciplinary teams in successful implementation of complex data and analytics projects
• Build long-term client relationships and identify new business opportunities
• Coach consultants and engineers, fostering their professional development
• Bring new market insights to the portfolio and actively shaping the Analytics Practice

Senior Manager, Data Analytics

• Develop and execute a commercial plan for your territory.
• Create pipeline through targeted outbound activity while converting relevant inbound demand.
• Lead discovery conversations with analytical and technically informed buyers.
• Position Montel’s value, deliver credible product demonstrations and manage negotiations.
• Run the full sales cycle from first conversation to close and customer handover.
• Keep a clear view of pipeline, activity and forecasts through disciplined CRM use.
• Represent Montel at customer meetings, conferences and energy-industry events.

Account Executive, DACH – Data Analytics SaaS, Sustainability

• Own the company topline revenue model: design, maintain, and continuously improve it, with clear accountability for forecast accuracy.
• Lead the redesign of the revenue modeling landscape toward a scalable, and auditable structure with a single source of truth.
• Build subscription economics into planning: recurring revenue, subscriber growth, retention and churn cohorts.
• Own scenario and what-if modeling for budgeting, pre-budgeting, and long-range planning, translating business questions into quantified options.
• Drive alignment of key KPI definitions across Finance, Data, and Accounting, contributing to a single company-wide KPI glossary.
• Deliver revenue insights and analysis for Board materials and investor reporting.
• Partner with Product, Marketing, and Monetization on pricing decisions, growth cases, and ROI assessments.
• Set modeling standards within FP&A and provide technical mentorship to junior analysts.
• Drive automation of recurring planning and reporting workflows, leveraging planning tools (Pigment) and AI-enabled solutions.

Senior Financial Analyst – Revenue Analytics, Modeling

• Move & transform data: Extraction, transformation and loading (ETL) of data from various sources
• Data warehousing: Build and enhance data warehouse solutions, from small systems to a central platform on Microsoft Fabric
• Analyze & visualize: Conduct data analyses and design meaningful reports and dashboards
• Build structures & models: Support the development of data models and structures for optimal data processing
• Work with AI: Use modern technologies for data analysis and pattern recognition
• Enable data-driven decisions: Collaborate with different teams to create real business value from data

Data Analyst – m/f/d

• ensure the stable operation of SAP Analytics Cloud (SAC)-, SAP BW/4HANA- and SAP Datasphere-based applications
• design, implementation and management of complex IT solutions within the global SAC/BW environment
• proactively identify and drive continuous improvement measures to enhance stability and performance
• build targeted industry knowledge and staying up to date on market trends and new SAP technologies
• ensure internal knowledge transfer within the team and build a strong network across the organization
• take on the lead of smaller IT projects or sub-projects within the functional area
• actively foster a culture of innovation and continuous improvement

SAP Analytics Cloud, BW Consultant – Solution Specialist

• Independently manage data-driven projects end-to-end — from requirements gathering through analysis of large, heterogeneous datasets to deriving well-founded recommendations for action
• Technically maintain and further develop our Power BI and Microsoft Fabric landscape, with a focus on workspaces, permissions, capacities, data models, and governance
• Perform complex analyses using Python and SQL and contribute to the development and production deployment of machine learning models
• Collaborate with clients to develop meaningful reports, dashboards, and KPI frameworks to make business objectives measurable and actionable
• Advise business areas, structure and refine requirements, and translate them into viable analytical solutions
• Communicate results appropriately to stakeholders and management, and moderate workshops or alignment meetings from a subject-matter perspective

• You analyze purchasing behavior, pricing and promotion data, as well as other consumer and retail datasets from various sources.
• You develop and maintain reports, dashboards, and reusable analysis frameworks for internal teams and external clients.
• You support Sales, Customer Success, Product Management and clients with data-related questions and translate business questions into concrete analytical outputs.
• You work with SQL, BI tools, and ideally Python to prepare, analyze, and clearly visualize data.
• You help automate manual reporting processes and make existing analysis workflows more efficient and scalable.
• You contribute to the further development of our data insights products, particularly in areas such as purchase-based surveys, consumer analytics, campaign and promotion performance, and prospectively AI-supported self-service.
• You present analysis results clearly, in a structured and decision-oriented way for different stakeholders.

Data Analyst, Data Insights

• Own and continuously improve a portfolio of market models for a dedicated industry to help produce proprietary data, developing deep domain and quantitative-methods expertise over time
• Analyze structured and unstructured data from a wide variety of internal and external sources to estimate and forecast market developments
• Build, maintain, and enhance statistical models to measure market size, growth, and key performance indicators
• Develop reproducible Python-based analytical workflows that ensure robust and explainable model outputs
• Use and support the development of AI tools to accelerate research, modeling, documentation, and quality assurance
• Contribute reusable modeling components, automation capabilities, and best practices to help build the next generation of our AI-enabled production platform
• Collaborate closely with Data Engineering to continuously improve our production system and deliver proprietary data faster, more consistently, and at greater scale

Junior Analyst – Modeled Data

• Help us build the insurance experience of the future. As our **Head of Data & Analytics (all genders)**, you will lead getolo's Data & Analytics function and maximize business impact by turning data into better decisions, measurable growth and strategic competitive advantage. Reporting to the CEO, you will own getolo's Data & Analytics strategy, ensuring that data becomes a core enabler of our ambitious growth plans.
• Key ResponsibilitiesBusiness Impact & Strategy
• - Own the company-wide Data & Analytics strategy with a clear focus on business value and commercial impact.
• - Identify high-value business opportunities and translate them into actionable analytics initiatives.
• - Partner closely with the executive team to support strategic decision-making and company growth.
• - Drive cross-functional strategic initiatives from problem identification through implementation.
• - Ensure Data is a key enabler for achieving getolo's growth ambitions.
• Business Analytics & BI
• - Define and prioritize the Business Analytics roadmap based on business impact.
• - Establish pragmatic reporting standards, KPI definitions and analytics best practices.
• - Continuously improve the company's reporting landscape to increase transparency, speed and trust in data.
• - Mentor and align embedded Business Analysts across Marketing, Sales and Operations without direct disciplinary responsibility.
• - Build and scale a central Business Analytics capability over time.
• - Foster a culture of data-driven decision making across the organization.
• Data-enabled Growth
• - Develop the analytics strategy for customer acquisition and growth - in close collaboration with Marketing
• - Drive continuous improvements in attribution, tracking and marketing measurement capabilities.
• - Identify optimization opportunities across the customer journey and commercial funnel.
• - Work closely with Marketing, Product and Country teams to maximize growth efficiency.
• Data Platform Leadership
• - Provide strategic direction for the Data Platform together with the Data Platform Team Lead.
• - Prioritize platform investments based on business value and company priorities.
• - Ensure the platform enables fast, reliable and scalable analytics.
• - Support the evolution of the current data architecture towards future business needs.
• - Coach and support the Data Platform Team Lead while enabling the team to operate effectively.
• Leadership & Collaboration
• - Act as the central point of alignment across Analytics, Business Intelligence and Data Platform.
• - Build strong relationships with stakeholders across all business functions.
• - Drive alignment between business priorities, analytics initiatives and platform development.
• - Promote a pragmatic, execution-focused and outcome-oriented data culture.
• Tech StackCurrent stack includes:
• - PostgreSQL (Amazon RDS)
• - AWS
• - dbt
• - Airflow
• - Airbyte
• - DLT
• - Metabase
• - Excel

Head of Data & Analytics

• Help our CFO and chief modeller to develop new financial tools for our customers.
• Elaborate ideas and develop exact numerical answers using already developed solutions as guidance.
• Take these a step further, in terms of content, structure and clarity.
• Cooperate closely with our team of engineers/designer(s)/product manager(s)

Quantitative Analyst, Financial Modeller

• Analyze operational business processes and identify optimization and automation potential
• Conduct target/actual analyses and create the basis for digital process solutions
• Evaluate operational data and detect patterns, error sources and areas for improvement
• Translate business requirements into clear specifications, process logic and acceptance criteria
• Work closely with business units and development teams to implement data-driven tools and process solutions
• Support the continuous improvement of existing processes and workflows

Data & Process Analyst

• Predominantly remote work
• Customer communication via phone and virtual channels
• On-site meetings in Southern Germany
• Leverage a network of relevant contacts in Data & Analytics
• Acquire and expand qualified new customers
• Present services related to SAP, Microsoft and Databricks
• Develop leads, opportunities and the sales pipeline
• Prepare tailored proposals and conduct contract negotiations
• Participate in trade shows and events to maintain the network

Senior Sales Manager, Data & Analytics

• You work closely with stakeholders, understand their business challenges, and translate them into scalable analytical solutions
• You develop and maintain reliable, scalable datasets and reporting tables using SQL and modern transformation tools like dbt
• You design, build and optimize dashboards that enable data-driven decisions across the company
• You analyze data, identify trends, opportunities and concrete recommendations for the business
• You continuously define, implement and further develop KPIs, metrics and reporting standards
• You ensure high data quality through testing, validation and structured analysis processes
• You drive the advancement of our analytics landscape by continuously improving documentation, standards, reusable components and best practices
• You take ownership of your areas of responsibility and, together with the team, strengthen our analytics capabilities

• You partner with stakeholders across the business to understand challenges and translate them into scalable analytical solutions
• You build and maintain reliable, scalable datasets and reporting tables using SQL and modern transformation tools such as dbt
• You design, develop, and optimize dashboards that enable data-driven decision-making across the organization
• You perform analyses to identify trends, opportunities, and actionable business insights
• You define, implement, and continuously improve KPIs, metrics, and reporting standards
• You ensure high data quality through testing, validation, and structured analytical workflows
• You contribute to the continuous improvement of our analytics ecosystem by enhancing documentation, standards, reusable assets, and best practices
• You take ownership of specific focus areas within the team and actively strengthen our overall analytics capabilities

• Contribute to key Finance initiatives by analyzing financial data, developing dashboards, optimizing reporting processes, and supporting strategic projects such as system implementations and data migrations
• Provide stakeholders with reliable insights that enable informed, data-driven decision-making across the business
• Hands-on analyst turning raw exports (e.g. DATEV, CRM) into clean tables and actionable insights
• Shape lightweight data pipelines (SQL/Sheets), definitions, and documentation for self-service key views
• Support FP&A on forecasts, ad-hoc deep dives, and tool introductions/data migrations (mapping, test cases, reconciliation)
• Ensure smooth month-/year-end support with simple reconciliations
• Create and maintain dashboards using Abacum, Looker or Claude, and develop simple automations to enhance productivity and reduce manual workload
• Analyze revenue, usage, and spend trends and communicate findings clearly
• Accompany cross-functional analysts (Product, Sales, Marketing, Revenue Ops) to align on metrics and data standards

Working Student, Finance Data & Analytics

• Campaign setup & maintenance: You set up Google Ads campaigns (Search, Shopping, Performance Max) according to clear guidelines and maintain ads, ad copy and budgets in the system.
• Daily monitoring: You continuously monitor the performance and daily budgets of our accounts to ensure smooth, error-free campaign operation.
• Data maintenance & reporting: You regularly export campaign performance data and prepare it for management in clear Excel spreadsheets or dashboards.
• Operational day-to-day tasks: You support the daily organization of marketing activities, coordinate creative assets (such as images and copy), and handle routine account tasks.

Junior Performance & Analytics Manager

• Support projects end-to-end, from planning through to delivery
• Create and maintain clear project plans, timelines, and milestones
• Coordinate tasks across teams, regions, and stakeholders
• Track progress, identify risks, and help solve challenges early
• Support key meetings, decision-making, and leadership updates
• Prepare presentations and keep project documentation up to date
• Gather and prioritize business needs in collaboration with stakeholders
• Facilitate workshops to align on goals and requirements
• Translate business needs into clear, actionable requirements
• Support KPI development and improve reporting standards
• Identify opportunities to simplify processes and improve reporting
• Assist with testing, validation, and implementation activities
• Act as a bridge between business and technical teams
• Build strong, trusting relationships across teams and regions
• Foster open, transparent communication and alignment
• Gather and summarize stakeholder feedback
• Support change and help teams adopt new ways of working
• Support KPI tracking and business performance monitoring
• Contribute to user-friendly dashboards and reports
• Help track the value and impact of initiatives
• Promote consistent reporting standards and ways of working
• Support continuous improvement of analytics and insights

Commercial Insights and Analytics PMO, Business Analyst

• Eigenverantwortliche Weiterentwicklung und Umsetzung aussagekräftiger Analysen, Dashboards und Reportings zu Sales Performance, Profitabilität, Availability Management, Forecasts sowie Digital-Shelf-Daten – zugeschnitten auf die Anforderungen unterschiedlicher Nutzergruppen
• Sicherstellung hoher Datenqualität und einer konsistenten KPI‑Logik über unterschiedliche Use Cases und Länder hinweg
• Befähigung interner Stakeholder zur korrekten Interpretation von Daten und deren Nutzung als Grundlage für operative und strategische Entscheidungen
• Proaktive Identifikation von Trends, Abweichungen und Potenzialen sowie Ableitung konkreter Handlungsempfehlungen
• Unterstützung der Steuerung des europäischen (Schwerpunkt) und globalen Amazon‑Geschäfts durch regelmäßige Performance‑Reviews, Deep Dive-Analysen und fundierte Entscheidungsvorlagen
• Enge Zusammenarbeit mit E‑Commerce, Marketing, Demand Planning und Finance sowie Übernahme der Rolle eines analytischen Sparringspartners
• Kontinuierliche Bewertung und Optimierung der Amazon‑Analytics Landschaft, einschließlich externer SaaS‑Tools und angebundener Datenquellen

Business Analytics Specialist

• Partner directly with the Director of Product to shape long-term mobile strategy.
• Collaborate across product, engineering, customer success, and marketing to break down silos, evangelize data-driven insights and drive cohesive progress on our global mobile strategy.
• Define and align core KPIs with business objectives to provide a clear framework for evaluating product success. Ensure these are coherent and linked to our overall company strategy and OKRs.
• Partner with Product Research to maintain an overview of the performance insights uncovered, identify remaining customer knowledge gaps, and proactively influence roadmap decisions.
• Analyze user behavior and performance metrics to identify trends, resolve issues, and drive features that improve market competitiveness.
• Empower product teams with methodologies and tools to enable independent, data-driven decision-making.
• Partner with engineering teams to ensure the infrastructure supports robust, scalable data analysis.

Data Analyst jobs in Germany

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Senior Manager, Data Analytics

Account Executive, DACH – Data Analytics SaaS, Sustainability

Senior Financial Analyst – Revenue Analytics, Modeling

Data Analyst – m/f/d

SAP Analytics Cloud, BW Consultant – Solution Specialist

Data Analyst

Data Analyst, Data Insights

Junior Analyst – Modeled Data

Head of Data & Analytics

Quantitative Analyst, Financial Modeller

Data & Process Analyst

Senior Sales Manager, Data & Analytics

Data Analyst

Data Analyst

Working Student, Finance Data & Analytics

Junior Performance & Analytics Manager

Commercial Insights and Analytics PMO, Business Analyst

Commercial Insights and Analytics PMO, Business Analyst

Business Analytics Specialist

Senior Product Data Analyst