Shape end-to-end analytics solutions by connecting business requirements, data architecture, and delivery plans across evolving reporting landscapes. As a Data Analyst, you will interface with stakeholders and data product owners to clarify needs and align delivery. You will translate current-state findings into pipeline designs, models, lineage, and rollout materials. Collaboration spans Agile planning, UAT, training, governance, and technical debt reduction. Key Responsibilities:
Lead discovery of reporting and data landscapes Translate requirements into pipeline designs and data models Create flow diagrams, lineage, and logical or physical models Prepare runbooks, deployment guides, and training sessions Coordinate table retirement and deprecation plans Requirements:
Bachelor’s or master’s degree in computer science or related area Hands-on experience with end-to-end data pipelines Knowledge of data transformation, ETL, ELT, and warehousing Exposure to Agile planning, Kanban, or Sprint concepts Ability to collaborate with clients across the globe Bring stakeholder communication, pipeline design, documentation, and governance skills to deliver practical analytics solutions.