Data Analyst

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Key Responsibilities

Your role and responsibilities

• Collaborate with business stakeholders to perform requirements analysis and refine functional and technical specifications
• Prepare Source-to-Target Mapping (STTM) documents with accurate data definitions, transformation logic, and mapping rules
• Analyze, interpret, and validate data to support business needs and data engineering processes
• Work closely with data engineers, architects, and business teams to ensure data quality and alignment with solution designs
• Support ETL/ELT development processes by providing detailed mapping, data rules, and validation inputs
• Participate in data model reviews and contribute to the design and improvement of data structures in the warehouse environment

Master's Degree

Required Technical And Professional Expertise

Required Skills and Experience:

• Strong proficiency in SQL, with hands-on experience using Snowflake
• Solid understanding of data modeling techniques, including dimensional modeling, data vault modeling, and medallion architecture
• Good knowledge of ETL/ELT concepts, cloud data platforms, and modern data warehouse practices
• Experience working with structured and semi-structured data
• Ability to document and communicate analytical findings and technical details clearly
• Strong problem-solving skills and attention to detail
• Ability to work collaboratively with cross-functional teams

Preferred technical and professional experience

• Experience with Snowflake-specific features (e.g., stages, virtual warehouses, snowpipe)
• Experience with data integration tools (e.g., dbt, Databricks, Azure Data Factory, Talend)
• Knowledge of data governance and data quality frameworks

• ERWin
• Snowflake Snowsight
• Python Notebooks
• Excel