FinOps Cloud Consultant

Robert Walters

London, UK

15 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Microsoft Excel Amazon Web Services Analysis of Variance (ANOVA) Microsoft Azure Big Data Cloud Computing Extract Transform Load (ETL) Python (Programming Language) Power BI SQL Databases Technical Data Management Systems Snowflake

+3 more

Data Analytics Cloud Optimization Data Pipelines

Job description

We are recruiting for a FinOps Cloud Consultant to join our client, a major US Investment Bank on an initial 12 month contract in London.

This is a hands-on role focused on cloud cost management, optimisation and analytics. You’ll analyse cloud billing and usage data, identify cost-saving opportunities and develop reporting and financial models to help Technology and Finance teams better understand and manage cloud spend.

We’re looking for a strong FinOps professional with experience across at least one of AWS, Azure or GCP, combined with good technical data skills including SQL, Power BI and ETL/data pipelines. Snowflake experience would also be beneficial. Note that this is not a data engineer role., * Analyse cloud billing, usage and consumption data across AWS, Azure and/or GCP

Identify and quantify cloud cost optimisation opportunities
Develop cost allocation, showback and chargeback models
Build forecasting, budget versus actual and variance analysis
Develop Power BI dashboards and reporting
Use SQL to analyse and manipulate large datasets
Work with ETL / ELT processes and data pipelines
Support cloud commitment and optimisation analysis, including Reserved Instances and Savings Plans
Monitor data quality and ensure accurate cost allocation
Present findings and recommendations to Technology, Finance and Business stakeholders

Requirements

Strong experience in FinOps / Cloud Cost Management
Hands-on experience with AWS, Azure or GCP
Strong understanding of cloud cost optimisation and financial management
Good SQL and Power BI skills
Experience with ETL / ELT and data pipelines
Strong Excel and financial modelling skills
Experience working with large, complex datasets
Excellent analytical and stakeholder communication skills

Desirable

Snowflake
Python / pandas
FOCUS / FinOps tooling such as Cloudability or CloudHealth
Chargeback / showback
Reserved Instances / Savings Plans
FinOps Foundation or TBM certification

This is an opportunity to work at the intersection of FinOps, cloud technology, data analytics and financial management within a major US Investment Bank.