Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.Responsibilities: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.Requirements2–5 years in data analysis, data engineering, or data governance (financial services preferred)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.Strong SQL and at least one scripting language (Python preferred).Familiarity with data modeling fundamentals and data lineage concepts, including metadata/lineage tooling.Exposure to data quality rules, controls, or reconciliation processes.Strong documentation and communication skills — able to turn SME conversations into clear, structured artifacts.Comfortable interacting with senior client stakeholders in a professional setting.BenefitsSignificant 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.Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are looking for an Analyst / Senior Analyst to support a large-scale enterprise data governance program with one of our leading clients.
Responsibilities:
- 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
- 2–5 years in data analysis, data engineering, or data governance (financial services preferred)
- 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.
- Strong SQL and at least one scripting language (Python preferred).
- Familiarity with data modeling fundamentals and data lineage concepts, including metadata/lineage tooling.
- Exposure to data quality rules, controls, or reconciliation processes.
- Strong documentation and communication skills — able to turn SME conversations into clear, structured artifacts.
- Comfortable interacting with senior client stakeholders in a professional setting.
Benefits
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
