Tiger Analytics

Analyst / Senior Analyst - Data Governance & Lineage

Tiger Analytics$80K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years in data analysis, engineering, or governance (preferably in financial services)
  • Familiarity with GCP data services (e.g., BigQuery, Dataflow)
  • Strong SQL and proficiency in at least one scripting language (Python preferred)
  • Understanding of data modeling fundamentals and lineage concepts
  • Experience with data quality rules and control processes
  • Excellent documentation and communication skills for crafting clear artifacts
  • Ability to engage with senior stakeholders professionally.

Responsibilities

  • Document data lineage from consumption points to systems of origin using client-specific tools.
  • Design, develop, and deploy ADS components and data quality controls in GCP.
  • Contribute to data modeling and target-state landscape design, involving SME interviews.
  • Act as the liaison between engineering, enterprise architecture, and data office stakeholders.
  • Translate insights from business data office into actionable tasks for engineering teams.

Benefits

  • Significant career development opportunities as the company expands.
  • Unique opportunity in a fast-growing, entrepreneurial environment.
  • High degree of individual responsibility within a small team.
Full Job Description
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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million

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