Data Analyst

Quick Facts

• Role: Data Analyst

Description

Work as a Data Analyst supporting system analysis and integration for data platforms including data warehouses and Data Lake/Lakehouse environments. Design Google Cloud–based solutions (especially BigQuery, Cloud Storage, Pub/Sub, and Cloud SQL), translate business requirements into technical specifications for development teams, and model data and data pipelines. Create and maintain analytical, functional, system, and technical documentation and support teams through analysis, implementation, testing, and deployment.

Responsibilities

• Conduct system analysis for data integration solutions, data warehouses, and Data Lake/Lakehouse platforms

• Design Google Cloud solutions (BigQuery, Cloud Storage, Pub/Sub, Cloud SQL)

• Translate business requirements into technical requirements and specifications for developers

• Model data for data warehouses, ODS, and Data Lake environments

• Analyze and design ETL/ELT processes and data pipelines

• Prepare analytical, functional, system, and technical documentation

• Design integrations using REST API, SOAP, data exchange files, message queues (Kafka, RabbitMQ, Pub/Sub) and microservices

• Develop and maintain Source-To-Target Mapping (STM) documentation

• Model solutions using UML and prepare system diagrams

• Define acceptance criteria and requirements supporting testing

• Analyze XML/XSD schemas and design relational data models

• Collaborate with architects, developers, testers, Product Owners, and business stakeholders

• Support project teams during analysis, implementation, testing, and deployment

Requirements

• Minimum 5 years of experience in integration projects, data warehouses, or Data Lake environments

• Minimum 5 years of experience in the analysis domain

• Experience independently leading system analysis in complex projects

• Practical experience in data modeling and designing integration processes

• Experience with Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub, Cloud SQL)

• Very good knowledge of SQL and relational databases

• Experience designing ETL/ELT processes and Data Pipelines

• Experience creating technical, functional, and analytical documentation

• Practical knowledge of Source-To-Target Mapping (STM)

• Experience in integrations based on REST API, SOAP, data exchange files, and message queues

• Knowledge of UML and system solution design

• Experience working with Jira and Confluence

Benefits

• Opportunity to provide services across diverse projects in Software, Embedded, Data, and Cloud Services

• Involvement in additional pre-sales and expert initiatives

• Access to medical care, a sports card, and a cafeteria benefits platform (per cooperation rules)