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FinOps Data Analyst & Consultant (m/w/d)

Cortex Reply
CompanyCortex Reply
CategoryData & Analytics
LocationMunich
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen14 Jul 2026 (the employer did not state a posting date)
Last verified6 Aug 2026
SourceEmployer ATS (recruitee)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Behind every optimisation decision is data. As a FinOps Data Analyst & Consultant at Cortex Reply, you'll transform millions of billing line items into forecasts, dashboards, and insights that executives can act on - across cloud, AI, SaaS, and on-prem environments.  This is an analytical consulting role at the intersection of data science, financial modelling, and business intelligence. You'll build cost models, design KPI frameworks, and deliver the transparency that makes technology spend predictable and optimisable.  Your tasks Data Analysis & Cost Investigation   Analyse commitment usage, reservation coverage, and cost trends across cloud, AI/ML, SaaS, and on-prem  Derive optimisation recommendations incorporating rightsizing, discounts, and usage anomalies  Forecasting & Predictive Modelling   Perform spend forecasts and variance analyses to prevent budget surprises  Validate cloud-native forecasting tools and contribute to internal ML-based forecast models  Reporting, Visualisation & KPIs   Design dashboards and reports for technical and executive audiences  Define FinOps KPIs and integrate them into live reporting systems aligned with business goals  Automation & Scaling   Automate reporting, alerting, and data pipelines (PowerAutomate, Python, SQL)  Streamline workflows and scale analytics capabilities across clients  Cost Allocation & Transparency   Drive tagging strategies, taxonomy design, and showback/chargeback models  Combine technical and business metrics for full-picture cost transparency  Thought Leadership   Develop FinOps blueprints and playbooks  Contribute trainings, talks, and publications  Expand offerings into FinOps for AI, FinOps for SaaS, or sustainability tracking  Client Advisory & Consulting   Engage directly with client stakeholders to understand business context, translate analytical findings into strategic recommendations, and present results in workshops and steering committees  Support proposal development, scoping of new engagements, and client relationship management as a trusted advisor on data-driven cost decisions  What We Offer Competitive compensation  Professional development through challenging projects and training opportunities  A diverse, international team with a strong knowledge-sharing culture  Opportunities for thought leadership: conferences, publications, certifications  A collaborative, supportive team environment  Degree in Data Analytics, Finance, Business Administration, Informatics, IT Management, or related field  Proficiency in English and German (min. B2 each)  Residence in Germany with work eligibility  Willingness to travel occasionally  Strong analytical skills with focus on financial data interpretation  Excellent communication and presentation skills  Understanding of agile frameworks and consulting/project management experience  Experience with at least one major cloud provider (AWS, Azure, or GCP)  Experience with SQL, Python, or R for data analysis and automation  Experience with BI tools (Power BI, Apptio BI / TBM Studio, or Tableau)  Excel & PowerQuery proficiency  Understanding of cloud billing data structures (AWS CUR, Azure Cost Export, GCP BigQuery billing)  Proactive, self-organised mindset  Nice to Have  Cloud certifications or FinOps Practitioner certification  Familiarity with cloud cost management tools (e.g. Cloudability, Flexera, Kubecost, Infracost)  Exposure to ML frameworks or cloud-native forecasting tools  Experience with SaaS management, on-prem licence optimisation, or AI cost management  Interest in community building, public speaking, or content creation Here you can find more information about Cortex Reply and how we process your data .