FinOps & Data Analyst will be responsible for reporting financial metadata of Cloud (AWS, Azure, SaaS) and Onprem (Mainframe, Midrange) environments to create run cost visibility across Hapag-Lloyd AG. This role combines FinOps FOCUS practices (forecasting, budgeting, unit economics) with strong data engineering and analytical skills (ETL, dashboards, Python automation) to deliver actionable insights and financial governance. This collected metadata will be used by leadership for forecasting, optimizing spend, support cost reporting and decision making. Lot of data is scattered in multiple places currently, analyst will need to collect, clean and furnish data with FinOps insights.
ResponsibilitiesKey Responsibilities & Tasks
FinOps FOCUS
• Monitor, analyze & report cost trends across AWS/Azure/On-prem environments
• Must understand & optimize usage and cost for Cloud Providers, SaaS Providers, Datacenters and internal cost.
• Quantify business value and collect metadata for KPI calculation.
• Understand TCO calculations, cost anomalies, unused resources, right-sizing opportunities, KPIs tracking and FinOps FOCUS processes.
• Track and analyze key cost drivers (compute, storage, network, SaaS).
• Support monthly cost forecasting using driver-based or regression models.
• Develop and maintain unit economics, cost allocation models, tagging frameworks, and showback/chargeback.
• Track KPIs such as cost-per-service, forecast accuracy, RI/SP utilization, savings realized, and cost per customer.
• Must have knowledge to pull raw data via Python / Terraform scripting from CSPs
Data
• Collect, clean, and analyze data from multiple sources to identify trends and patterns.
• Work closely with data engineers, analysts, and business teams to understand data requirements.
• Build and maintain ETL pipelines to ingest billing data (CUR, Azure Cost Exports, SaaS usage reports)
• Ensure cost, usage, and operational data is processed accurately & efficiently.
• Build automation using Python or SQL to collect data for dashboard creation in QlikSense or any of FinOps tools.
QualificationsPreferred Certifications
• Must have in-depth knowledge in FinOps FOCUS & good to be FinOps FOCUS certified
• Must have in-depth knowledge in any of scripting language and good to have relevant certifications Behaviours & Approach
• Strong drive for results and interpersonal skills
• Strong analytical and data skills, with demonstrated capability in engaging a large, distributed organization.
• Ability to take initiative and work as a team.
• Continuous learning attitude and collaborative individual
• Excellent communication and data story telling ability
Work Experience
• Mandatory 3-4 years of relevant experience in Data Engineering / FinOps FOCUS with overall experience not exceeding 5-6+ years
• Strong understanding of FinOps and Data tools (e.g., Flexera, CloudZero, Nexthink, Python)
• Good to understand software licensing models (Microsoft, AWS, SaaS, etc.)
• Good communication and stakeholder management skills
Education & Qualifications
• Bachelor’s degree in computer science / information technology, or a related field
• English language – expert proficiency (additional languages are beneficial)
Skills Required
- In-depth knowledge of FinOps FOCUS practices (cost optimization, TCO, showback/chargeback, tagging)
- FinOps FOCUS certification
- Python scripting for data extraction and automation
- Terraform scripting for pulling raw data from cloud providers
- Proficiency in SQL for automation and ETL tasks
- Build and maintain ETL pipelines to ingest billing data (AWS CUR, Azure Cost Exports, SaaS usage reports)
- Experience with cloud providers AWS and Azure and cloud cost reporting
- Experience with FinOps/data tools and dashboarding (QlikSense, Flexera, CloudZero, Nexthink)
- 3-4 years relevant experience in Data Engineering / FinOps FOCUS (overall experience not exceeding ~5-6 years)
- Bachelor's degree in Computer Science, Information Technology, or related field
- Expert proficiency in English (communication and data storytelling)
- Understanding of software licensing models (Microsoft, AWS, SaaS)
- Relevant scripting or data engineering certifications (nice to have)
What We Do
With a fleet of 280 modern container ships and a total transport capacity of 2.1 million TEU, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has around 13,700 employees and 400 offices in 140 countries. Hapag-Lloyd has a container capacity of 3.1 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 114 liner services worldwide ensure fast and reliable connections between more than 600 ports on all the continents. In the Terminal & Infrastructure segment, Hapag-Lloyd has equity stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. Around 2,900 employees are assigned to the Terminal & Infrastructure segment and provide complementary logistics services at selected locations in addition to the terminal activities.
