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

Full-timeHybrid
Germanyvia Cortex Reply CareersPosted Jun 3, 2025
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceData science

Methods

Operations

Role signals

Finance

About this role

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

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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