data analyst in quality operations

SNI serves as an IT outsourcing partner for prestigious firms and delivers projects worldwide.

• Design, develop, and support end-to-end QDCC data products and analytical solutions;
• Analyze quality, process, and product data to identify anomalies and improvement opportunities;
• Develop analytical models, KPIs, and reporting to support quality and operational decision-making;
• Collaborate with Product Owners, Data Engineers, and business stakeholders across Quality, Development, and Operations;
• Translate analytical findings into rule-based monitoring concepts;
• Implement functional and non-functional data requirements;
• Prepare management-ready dashboards, reports, and visualizations;
• Document code, data products, and technical solutions according to PITT standards;
• Ensure compliance with the client’s IT security and governance standards;
• Participate actively in Agile ceremonies, including SCRUM and SAFe.

• Strong experience with Python;
• Advanced SQL development and optimization skills;
• Experience with Apache Spark;
• Experience working with distributed data systems and modern data architectures;
• Experience with data modeling and optimization using Apache Iceberg;
• Experience with table design, partitioning strategies, and performance optimization;
• Experience with Cloudera or enterprise data platforms;
• Experience using GitLab, Jira, and Confluence;
• Ability to create executive-level visualizations and analytical reports;
• Nice to have: Apache Spark Streaming experience, experience translating analytical findings into rule-based monitoring concepts.

• Contract from ASAP to 31 December 2026, with possible extension;
• Remote work with occasional travel.