Data Analyst

• Develop advanced analyses for data from our Defense Metaverse, in particular from tactical simulations, agent behavior, operational pictures, tracks, event sequences, and decision-making processes
• Support analysis of real-world data from physical sensors, tests, demonstrators, and field trials
• Build analysis pipelines, dashboards, and reports
• Develop metrics and analysis logic for defense-relevant questions
• Work closely with software development, AI development, simulation engineering, military subject-matter experts, and project management
• Present results clearly and in a decision-relevant format

Senior Data Analyst – Defense Metaverse, Sensor Analytics

• Sie setzen aufsichtsrechtliche Meldeanforderungen Schwerpunkt bei Meldungen zum Liquiditätsrisiko
• Im Scrum-Teams sorgen Sie für die fachliche Konzeption der Produktanforderungen
• Im Produktmanagement übernehmen Sie Verantwortung im fachlichen Support für unsere Kunden und unterstützen bei der Erstellung und Durchführung von fachlichen Tests

Meldewesen – Manager Regulatory Reporting, Data Analytics

• Design, build, and maintain scalable data models using dbt and strong SQL, with a focus on robust data marts and a clean semantic layer
• Own the BI layer (Looker/LookML) end-to-end, creating self-service Explores that give the entire company a single source of truth for analysis
• Translate complex business logic into structured data models, including topics such as Customer Health Scores, NRR (cohort-based), CAC Payback, product unit economics, churn, provisions, and commercial KPIs.
• Unify and harmonize data across systems such as Salesforce, Product Data, HubSpot, Jira, Intercom, Personio, and internal booking/factoring systems.
• Develop end-to-end reporting solutions from requirement gathering and data validation to Looker dashboards and stakeholder-ready reports.
• Build advanced analyses such as:
• - Sales funnel and GTM performance tracking
• - Commercial KPI automation
• - Cohort-based NRR, CAC payback and churn analytics
• - Revenue reconciliation (Signed vs. Actual Revenue)
• - Customer and usage benchmarks (including regional usage / booking patterns)
• Ensure data quality and cross-functional alignment:
• - Identify gaps in data collection and instrumentation before modeling begins, ensuring quality, consistency, and long-term scalability
• - Establish tests and validation logic in dbt to guarantee reliability and transparency across data models
• - Collaborate closely with Product, Commercial and Finance to deeply understand the processes generating the data
• - Support system alignment between tools to ensure consistent reporting logic across the organization

Senior Data Analyst

• Lead and develop a team of three analysts dedicated to our core product for all sales-driven business
• Collaborate with the SVP of Product to leverage data and drive strategic decision-making
• Ensure data-driven decisions guide product strategy and innovation efforts
• Join the Product Insights department, composed of the Product Data Analytics team and Product Research team
• Ensure the team is aligned with broader company goals and operates with necessary velocity to influence strategic decision-making

Senior Product Data Analyst

• Partner directly with the CEO Office and Customer Operations leaders across our US and DACH markets
• Design, build, and maintain foundational dashboards in Metabase
• Enrich the semantic context and reliability of GotPhoto’s in-house AI analytics agent
• Mentor peer analysts, champion analytical rigor, and systematically turn repetitive ad-hoc ticket spikes into scalable, automated self-serve models
• Work collaboratively with the BI Chapter and the Data Platform team

Senior Data Analyst, AI-Enabled Analytics

• You will strategically expand our business intelligence landscape: from data architecture and dashboards to self-service reporting for all teams
• You will analyze performance data from the webshop, marketplaces, CRM, paid media and logistics — and derive concrete, actionable recommendations for management
• You will develop KPIs, forecasts and scenarios that make our growth trajectory controllable (revenue, margin, CAC, LTV, retention, inventory levels, channel profitability)
• You will identify optimization opportunities across the entire customer journey — from acquisition through conversion to repurchase rate
• You will deploy AI and machine learning applications in production: e.g., for forecasting, customer segmentation, churn prediction, automated reports or marketing measurement
• You will establish a modern data stack (e.g., BigQuery / Snowflake, dbt, Looker / Power BI / Tableau) and ensure a clean, scalable data foundation
• You will work closely with Marketing, E‑Commerce, Operations, Finance and external partners and translate complex data questions into clear, decision-ready answers
• You will act as a sparring partner for the management team on strategic questions around growth, channel mix and internationalization

Data Analyst, Business Intelligence Manager

• Analysis of customer data: revenue, market and campaign analysis
• Co-development of Data & AI use cases
• Support in strategy and concept work
• Translating numbers into stories and decisions
• Structuring and developing presentations, concepts and roadmaps for top management

Working Student, Business & Data Analyst Consultant

• In our twelve-month training program you will learn practical, application-oriented skills in the following areas:
• Data analysis with SQL, Python and Power BI.
• Creation of interactive dashboards.
• Fundamentals of AI and agile project management.
• Online training in a virtual classroom with experienced professors, data analysts and AI experts.

Data Analyst, Data Science, AI

• Lead field data analytics activities to assess gearbox and drivetrain performance, reliability, and failure trends
• Develop, enhance, and maintain software, tools, and analytical methods used for gearbox and drivetrain evaluation
• Define and drive the strategy for commercial software selection, evaluation, and application in support of engineering and analytics needs
• Evaluate commercial software solutions based on technical capability, fit for purpose, scalability, maintainability, and business value
• Analyze field, service, and engineering data to identify trends, anomalies, root causes, and opportunities for product improvement
• Support root cause analysis and the definition, execution, and tracking of corrective and preventive actions
• Collaborate with engineering, service, quality, manufacturing, and program teams to investigate technical issues and align on resolution paths
• Interface with suppliers and internal stakeholders to gather technical input, validate findings, and support issue resolution
• Communicate complex technical findings and recommendations to internal teams and leadership
• Ensure data integrity, traceability, consistency, and technical rigor across analytics outputs, software tools, and reporting
• Establish and share best practices for analytical methods, tool development, software evaluation, and technical documentation
• Provide technical guidance and mentoring to team members
• Contribute to reliability growth, continuous improvement, and lessons learned across the product line

Technical Lead, Data Analytics

• Support for project management
• Creation of automated data evaluations and statistical analyses using Excel with macros and Power BI
• Preparation of documentation and overviews
• Preparation of presentations using PowerPoint
• Collaborate with team members to ensure efficient workflows and completion of tasks
• Participate in department meetings and regular project status meetings
• Conduct research on assigned topics

Working Student – Project Management, Data Analysis, Reporting

• Conduct database analyses for all company departments
• Support daily ad-hoc requests from various business units
• Prepare insights from analyses to support corporate decision-making
• Produce regular reports for different departments and update them as needed
• Develop and build structured reports using business intelligence tools in collaboration with the relevant departments
• Support the further development of a data warehouse and CRM solutions
• Further develop Power BI as the company-wide BI tool
• Monitor the market and identify relevant trends in data analysis and evaluation

Data Analyst / Data Scientist – (m/f/d)

• Act as a subject‑matter expert in workforce and resource analysis, combining deep analytical capability with strong commercial judgement.
• Provide advanced, proactive analysis to support operational and strategic resourcing decisions
• Anticipate capacity risks and resourcing constraints, and developing scenarios to inform workforce planning
• Translate complex workforce data into clear recommendations for senior stakeholders and leadership forums
• Partner closely with project managers and Centre of Excellence (CoE) leads to align project demand with available capability and skills
• Monitor, report on and improve internal mobility and deployment through our Internal Marketplace processes
• Act as a trusted advisor on resource optimisation, workforce planning and utilisation across the business

Resource/Data Analyst

• Support in maintaining and further developing Statista’s ranking and rating databases, ensuring consistency, accuracy, and scalability
• Implement and optimize data pipelines (ETL/ELT) to automate data collection, transformation, and validation workflows
• Collaborate on data pilots and benchmarking projects — from design and metric development to scoring and results analysis, interacting directly with our clients as part of an interdisciplinary Statista project team
• Integrate, clean, and standardize external datasets from hospitals, ministries, and partners for unified use in Statista’s healthcare products
• Develop and document data models and scoring frameworks in alignment with the Healthcare Analysis and IT teams
• Support the development of Statista’s Unified Health Database and future Healthcare Data Platform
• Perform internal analyses and reporting to improve data quality and performance metrics of existing healthcare products
• Ensure data validation and reproducibility, including peer review and internal QA checks.
• Actively contribute ideas for new data-driven healthcare products and improvement of existing workflows

Consultant – Healthcare Data Analytics

• Investigate: Use your analytical skills to find and diagnose technical and data-related issues within adjoe's global operations.
• Experiment: Analyse user behaviour changes happening inside product experiments, test, new features, and updates.
• Develop: Contribute to better reporting, monitoring, and alerting systems, improving data visibility for data, product, and business stakeholders.

Working Student, Data Analyst

• Analyze digital marketing data, identify trends, and derive actionable recommendations
• Maintain and further develop our reporting structures in Power BI and Google Sheets
• Create and optimize Power BI dashboards for global marketing teams
• Support the optimization of data processes and ensure data quality using Python, SQL, and Databricks
• Conduct country-specific analyses to drive growth and promote the efficient use of digital channels

Working Student, Data Analytics, Business Intelligence

• Data analysis with SQL, Python, and Power BI
• Creation of interactive dashboards
• Fundamentals of AI and agile project management
• Live instruction: online training in a virtual classroom with experienced instructors, data analysts, and AI experts

Data Analyst – Further Training in Data & AI

• You will support the design, data preparation and documentation of Marketing Mix Models (MMM) for branding and/or performance objectives
• You will analyze heterogeneous data sources (e.g. media spend, campaign KPIs, sales/leads, promotion, pricing and seasonal data) and check data quality and plausibility
• You will contribute to modeling (e.g. regression, time-series approaches, adstock/saturation functions) and assist in validating and interpreting results
• You will create scenarios and budget simulations and, together with the team, derive concrete optimization and action recommendations
• You will prepare results for different audiences (charts/slides, brief executive summaries) and present insights and recommendations in meetings/workshops — internally and to clients
• You will work closely with colleagues from Data Science, Consulting, Engineering and Marketing and develop your methods and tools on the job

Junior Data Analyst

• Pflege und laufende Aktualisierung von Produktstammdaten
• Sicherstellung der Datenqualität durch standardisierte Prüfmechanismen
• Erstellung, Betreuung und Weiterentwicklung von Datenimportprozessen
• Bearbeitung interner und externer Supportanfragen
• Zusammenarbeit mit dem eigenen Team sowie weiteren spannenden Fachabteilungen

Data Analyst, Editor

• Eigenverantwortliche Umsetzung von BI- und Analytics-Projekten mit Qlik
• Analyse von fachlichen und technischen Anforderungen gemeinsam mit unseren Kunden
• Entwicklung performanter Datenmodelle, Dashboards und Qlik Apps
• Beratung zu Architektur, Betrieb und Weiterentwicklung von Qlik Sense / Qlik SaaS
• Betreuung und Optimierung bestehender Kundensysteme
• Durchführung von Schulungen sowie Unterstützung bei Presales-Aktivitäten

Senior Data Analyst, Qlik

• Datenanalyse mit SQL, Python und Power BI
• Erstellung interaktiver Dashboards
• Grundlagen der KI und agiles Projektmanagement
• Online-Training im virtuellen Klassenzimmer

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