Business Analyst – Data Lake

YOE: 5-12 years

Work time zone would be CET

Job Summary

We are seeking a techno-functional Business Analyst with exposure to Agricultural Commodity Trading companies to help build a strategic enterprise program focused on building a centralized, scalable data lake platform. This role involves working closely with stakeholders to understand their needs, finding practical ways to use data, and acting as a key liaison between business stakeholders, data engineering teams, and product owners to create high-value data products.

Key Responsibilities

1. Business & Data Requirements

Elicit, document, and manage business and data requirements and translate business needs into:

• Data models
• Data product requirements
• User stories and acceptance criteria

2. Data Analysis & Insights

Analyze data sources to assess:

• Data quality
• Completeness
• Requirement Fit

3. Data Lake & Product Enablement

Work with engineering teams on defining:

• Source-to-target mappings
• Data pipeline requirements
• Metadata definitions

4. Stakeholder Management

• Collaborate with business units, data engineers, architects, and governance teams
• Facilitate workshops to identify high-value data use cases and analytics needs
• Align stakeholders on priorities, scope, and expected outcomes

Required Qualifications

Must Have:

• Strong understanding of finance accounting & controlling, treasury, risk, and compliance teams operations in a trading company
• Ability to read and interpret accounting data
• Hands-on experience in Data Lake/Data Warehouse/report implementation projects
• Basic understanding of software development processes
• Proven ability to translate business requirements to technical requirements
• Hands-on experience in analyzing data using SQL
• Strong analytical and data interpretation skills
• Excellent stakeholder communication and facilitation
• Experience working with one back-office ERP system like SAP

Good to Have:

• Experience in report building in BI Platforms
• Knowledge of data governance tools