Analyst / Senior Analyst - Data Governance & Lineage
Role details
Job location
Tech stack
Job description
- Document data lineage from Tier 1 consumption points through analytical data stores to systems of origin, capturing findings in the client's preferred tooling.
- Support the design, development, and deployment of ADS components, data pipelines, and data quality controls (DQ rules, variance analysis, anomaly detection, comprehensiveness checks) on GCP.
- Contribute to data modeling and target-state landscape design, support SME interviews, and work closely with engineering teams and business data office stakeholders day-to-day.
- Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership.
- Bridge business and technical requirements by translating insights from the business data office into actionable engineering tasks.
Requirements
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2-5 years in data analysis, data engineering, or data governance (financial services preferred)
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Working knowledge of GCP data services (e.g., BigQuery, Dataflow/Dataproc, Cloud Composer, Cloud Storage, Dataplex) and the ability to build and deploy pipelines and controls.
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Strong SQL and at least one scripting language (Python preferred).
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Familiarity with data modeling fundamentals and data lineage concepts, including metadata/lineage tooling.
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Exposure to data quality rules, controls, or reconciliation processes.
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Strong documentation and communication skills - able to turn SME conversations into clear, structured artifacts.
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Comfortable interacting with senior client stakeholders in a professional setting.
Benefits & conditions
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.