Role and Responsibilities: Interface with business stakeholders, understand their data and analytics needs, establish requirement in alignment with data product owners and align on delivery plan. Lead discovery of the current reporting and data landscape: inventory sources, ETL processes, upstream/downstream dependencies, and existing metrics/definition Translate stakeholder requirements and current-state findings into a target pipeline design (batch and near-real time where applicable), including data flow diagrams, lineage, and logical/physical model Develop and maintain end to end data pipelines: author, tune, and optimize Python and SQL code for extraction, transformation, and loading (ETL/ELT), including incremental loads, partitioning,



and CDC patterns Build reusable Python libraries and parameterized pipelines to accelerate delivery and ensure consistency Implement data quality, validation, and reconciliation processes: automated tests, reconciliation scripts, anomaly detection, and monitoring/alerting to ensure trust in the data Define and codify metric logic, mapping, and lineage; implement validation tests and documentation for each metric to support governance and auditability Own UAT for recent/changed data assets: create test plans, run tests, document findings, and provide pass/fail recommendations to IT and engineering partners Prepare rollout materials and lead change adoption: runbooks, operational runbooks, deployment guides, knowledge

📌 Data Analyst (Toronto)
🏢 Inizio Partners
📍 Toronto