Specialist Data Analytics

About the Role The Specialist Data Analytics role is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes. What You'll Do

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Collaborate and communicate effectively with product teams
• Collaborate with site & network to analyze and select appropriate data models & algorithms that focus on gaining data insights to improve business process or value
• Design, write, and test data / ML pipelines / LLM and other advanced analytic / visualization or AI solutions
• Prioritize & lead the implementation of internally developed and externally provided analytic solutions
• Coordinate & project manage the delivery / development of data / ML pipelines / LLM and other advanced analytic / visualization or AI solutions
• Collect business requirements / user stories for new or enhancements to existing analytic solutions
• Translate business requirement / pain point to Machine Learning use case to resolve real world business problems
• Implement most recent algorithms and techniques as applicable What We're Looking For
• Strong technical skills with data analytics, experience with big data technologies, and a deep understanding of data architecture and ETL/ELT processes
• Experience designing and implementing data pipelines, data models, and data dictionaries
• Ability to translate business requirements into machine learning use cases and practical analytics
• Experience with cloud platforms, preferably AWS
• Ability to collaborate with cross-functional teams and clearly communicate with product teams
• Knowledge of data security and privacy measures to protect sensitive data
• Project management skills to manage scope, timelines, and risks Nice to Have
• Experience with AWS or other cloud-based data platforms (if not already mandatory)
• Familiarity with ML/LLM pipelines and advanced analytics or AI solutions Compensation & Benefits
• Salary not disclosed; benefits not listed.