FinOps & Data Analyst

FinOps & Data Analyst Full Time Brigade World Trade Center Sales office 5, , Rajiv Gandhi Salai, Tirumalai Nagar, Perungudi, Chennai, Tamil Nadu , India With Professional Experience 12/10/25 About Hapag-Lloyd With a fleet of modern container ships and a Vessel Capacity 2.2 million TEU, as well as a Container Capacity 3.2 million TEU including one of the world’s largest and most modern reefer container fleets, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has around 13. employees and offices in countries. Hapag-Lloyd has a container capacity of 11.9 million TEU – including one of the largest and most modern fleets of reefer containers. A total of liner services worldwide ensure fast and reliable connections between more than ports across the world. In the Terminal & Infrastructure segment, Hapag-Lloyd has stakes in 20 terminals in Europe, Latin America, the United States, India, and North Africa. The roughly 2. employees assigned to the Terminal & Infrastructure segment deal with terminal-related activities and provide complementary logistics services at selected locations. FinOps & Data Analyst The Role FinOps & Data Analyst will be responsible for reporting financial metadata of Cloud (AWS, Azure, SaaS) and On-prem (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. Key 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. Preferred 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 certification 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) What we offer Competitive salary Self & Family Health Insurance Global Staff Bonus Employees’ Deposit Linked Insurance Scheme (EDLI) Learning & Development through HL Academy Leave Travel Allowance Recreation facilities Privilege, Casual and Sick leaves Contact person Kalai Priya Kumar Share this job Imprint | Privacy Policy