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

Cortex Reply DE

Berlin

Vor Ort

EUR 65.000 - 95.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive compensation
Professional development
Diversity in international team
Opportunities for thought leadership
Collaborative team environment

Zusammenfassung

Cortex Reply DE is seeking a FinOps Data Analyst & Consultant to transform millions of billing line items into forecasts, dashboards, and insights for executives across cloud, AI, SaaS, and on‑prem environments.

The role blends data science, financial modelling, and business intelligence to design KPI frameworks, cost models, and transparent spend reporting. You’ll lead analytics, advisory workshops, and scalable cost insights for multiple clients.

Qualifikationen

  • 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.
  • 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.

Aufgaben

  • Data Analysis & Cost Investigation: analyse commitment usage, reservation coverage, and cost trends.
  • Forecasting & Predictive Modelling: perform spend forecasts and variance analyses; validate forecasting tools.
  • Reporting, Visualisation & KPIs: design dashboards and reports for technical and executive audiences.
  • Automation & Scaling: automate reporting, alerting, and data pipelines.
  • Cost Allocation & Transparency: drive tagging strategies and showback/chargeback models.
  • Thought Leadership & Client Advisory: develop FinOps playbooks and advise clients.
  • Client Advisory & Consulting: engage with stakeholders and translate findings into recommendations.

Kenntnisse

Analytical thinking
Financial data interpretation
Communication skills
German language (B2)
English language (B2+)
Client advisory

Ausbildung

Degree in Data Analytics, Finance, Business Administration, Informatics, IT Management, or related field

Tools

SQL
Python
R
Power BI
Tableau
Apptio BI / TBM Studio
PowerQuery
Cloud cost tools

Jobbeschreibung

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 discounts, rightsizing 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.

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