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.