Business Analyst - Data/ Optimization

Job Description:
Our client is seeking a skilled Business Analyst to join their Data and Optimization team on a 12-month contract. This role focuses on strategic data management, data governance, and data mapping initiatives, leveraging AI-driven automation and advanced analytics to ensure data accuracy and accessibility across the organization. The ideal candidate is highly self-motivated, capable of driving projects forward independently while collaborating with cross-functional stakeholders to improve data quality and business outcomes.

Day-to-Day Responsibilities:

• Lead deployment of new reports, automation solutions, and Data Center processes - including validation, documentation, and stakeholder sign-off
• Drive user enablement through targeted training sessions, job aids, and ongoing support to ensure adoption of new capabilities
• Assist in developing and implementing data management strategies using AI and automation to validate, cleanse, and monitor data quality at scale
• Support data governance initiatives to maintain data accuracy, consistency, and regulatory compliance
• Perform data mapping to ensure seamless integration and interoperability across systems
• Collaborate with cross-functional teams to democratize data and enable self-service, AI-assisted access for decision-making
• Conduct data analysis and proofs-of-concept (POCs), including AI-enabled validation and pattern detection, to surface trends and insights
• Develop and maintain data documentation including data dictionaries, metadata, data lineage, and user support artifacts
• Define project objectives, success criteria, and key performance indicators (KPIs)

Minimum Requirements:

• Proficiency in Snowflake, Atlan, and/or MS Fabric
• AI knowledge and/or implementation experience
• Bachelor's degree in Data Science, Computer Science, Information Systems, or related field
• Proven experience in data analysis, data management, and data governance
• Proficiency in SQL and relational databases (joins, aggregations, macros, functions)
• Experience with data visualization tools, particularly Power BI
• Strong knowledge of data mapping techniques and tools
• Experience with data catalog tools and metadata management
• Knowledge of data privacy regulations and compliance standards
• Exceptional verbal and written communication skills - able to translate complex data concepts for both executive and non-technical audiences
• Strong analytical and problem-solving skills
• Background in logistics strongly preferred

• Experience with automation tools for data validation and cleanup workflows