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

Meyandy LLC; München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Professional development opportunities

International team environment

Thought leadership opportunities

Collaborative team culture

Zusammenfassung

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

The role blends data science, financial modelling, and business intelligence to build cost models, KPIs, and transparent cost reporting for executives and clients. Travel may be required occasionally and English/German proficiency is essential.

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.
• 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).

Aufgaben

• 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.
• Reporting, Visualisation & KPIs: design dashboards and reports for technical and executive audiences.
• Automation & Scaling: automate reporting, alerting, and data pipelines (PowerAutomate, Python, SQL).
• Cost Allocation & Transparency: drive tagging strategies, taxonomy design, and showback/chargeback models.
• Thought Leadership: develop FinOps blueprints and playbooks; contribute trainings and publications.
• Client Advisory & Consulting: engage with client stakeholders and present results in workshops.

Kenntnisse

Data analysis

Financial data interpretation

SQL

Python

R

Power BI

Tableau

Excel

PowerQuery

German language

English language

Consulting

Project management

Communication

Presentation skills

Cloud experience (AWS/Azure/GCP)

Cost modelling

Forecasting

Ausbildung

Data Analytics degree

Finance degree

Business Administration degree

Informatics degree

IT Management degree

Tools

Power BI

Apptio BI / TBM Studio

Tableau

SQL

PowerQuery

Excel

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 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

Requirements

• 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)

FinOps Data Analyst & Consultant (m/w/d) — Cortex Reply, Munich.