Data Analyst
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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 new/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
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