Job Description

Full Time Analytics Lead w/ SAS Experience Position Summary
The Analytics Lead will develop strategy and vision for the Data Platform Services (DPS) Organization in the Business Analytics Tool space. The Analytics Lead will provide technology leadership, support business initiatives and drive strategic efforts that focus on building and leveraging information assets for our business partners with a specific focus on big data technologies and development of data and analytics solutions on big data platforms. Job Duties:

• Drive architecture & design requirements, operational enhancements, maintenance and support of Enterprise SAS and Data Analytics Program platforms & applications supporting the Data Scientists, Modelers and Analysts user community.
• Develop and drive SAS Program and Data Analytics Platform and Product Roadmap Strategy to ensure initiatives are aligned to the Enterprise Architecture Roadmap and Business Analytics Tool Strategy.
• Analytics Lead activities around designing and developing architecture roadmaps and proposals for big data platforms including data ingestion, modelling, data security, master data management, etc.
• Design data models and associated metadata for mission critical and high-volume data systems, real-time and distributed data processing systems, data lakes/data warehouse, OLAP cubes.
• Work with project teams designing overall IT solutions, with the responsibility to ensure successful data design and implementation.
• Lead teams in best practices, processes in building and maintaining the Data Infrastructures for relational as well as Big Data Infrastructures delivered to clients and internally keeping systems optimised and performance.
• Be responsible for Data Warehousing Design, Data Integration Processes, Database Resource Planning, Infrastructure Performance, Data Governance and Security Management as well as design, architecture, implementation, and documentation of new, scalable ETL processes, pipelines, pathways and dimensional data models.
• Lead and participate in data-related requirement gathering sessions with clients, subject matter experts, data analysts/engineers, user communities, and other IT stakeholders.
• Responsible for data profiling, data analysis, data specification, data flows mapping, business logic documentation associated with new or modified data capture requirements in relation to proposals or service delivery.
• Communicate risks, issues, and opportunities to management/leadership.

• Minimum 15 years of working experience, of which 5-8 years are as an Analytics Lead or in a similar capacity;
• 5+ Years of hands on SAS Architecture and Engineering Experience designing and building large scale SAS Platforms.
• Successfully completed large data projects from conceptual designing to implementation and post-implementation support.
• Knowledge and experience in Cloudera, Python and R, Microsoft BI Stack and Streamsets but optional.
• Good knowledge of IT security, data governance, audit and regulatory.
• Strong experience in designing data model and architecture principles.
• Ability to determine database structural requirements and analyze database implementation methods.
• Experience working with a Retail client is a plus.
• Familiar with the creation of data diagrams for key entities.
• Has strong communication and collaborations skills.