Analyst / Senior Analyst - Data Governance & Lineage
Phoenix, Arizona, United States · Hybrid
Mid level
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 i…
Skills: Data Governance, Data Lineage, GCP, SQL, Python
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At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives. We introduced precision medicine to …
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Full-time
Posted 23d ago
~40 hrs/week
Responsibilities
Document data lineage and support the design and deployment of data pipelines and quality controls on GCP. Act as a bridge between engineering, architecture, and business stakeholders to translate requirements into actionable tasks.
Requirements
Requires 2-5 years of experience in data analysis, engineering, or governance, preferably within financial services. Proficiency in SQL, Python, and GCP data services is essential, along with strong communication skills for senior stakeholder interaction.
Full job description
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.
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.
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.
Related keywords
Data GovernanceData LineageGCPBigQueryDataflowDataprocCloud ComposerCloud StorageDataplexSQLPythonData ModelingData QualityAnomaly DetectionVariance AnalysisMetadata
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Industry
Business Consulting and Services
Company size
5,001-10,000 employees
Founded
2011
Headquarters
Santa Clara, CA
LinkedIn followers
654,141
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale.
Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones.
If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
Offices: 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US · 111 Town Square Pl, Jersey City, New Jersey 07310, US · 36 Robinson Rd, Singapore, Singapore 068877, SG · 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US · 5151 Headquarters Dr, Plano, Texas 75024, US
Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
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