Finance Data ETL Analyst | Python, Data Migration

addepar1

City of Edinburgh

Hybrid

GBP 60,000 - 85,000

Full time

6 days ago
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Job summary

Addepar seeks a Technical Data Analyst to lead data migration, conversion and validation for client projects. The role requires a solid understanding of financial portfolio data, Python basics, and strong communication to ensure deadlines and quality standards are met.

Applicants must have the right to work in the United Kingdom from day one; visa sponsorship is not available. You will collaborate with global teams across locations to optimize data workflows and automation.

Qualifications

  • Minimum 2+ years experience in technology and finance.
  • Fluent in English with excellent written and verbal communication.
  • Experience working with colleagues across multiple global locations.
  • Proficient in Python and ETL concepts.
  • Understanding of financial markets and portfolio data.
  • Ability to convey complex information clearly and concisely.
  • Organized, detail-oriented and proactive in problem solving.

Responsibilities

  • Convert, migrate and validate data using existing tooling and defined processes.
  • Deliver data projects on time while maintaining high quality.
  • Coordinate with project teams and provide regular status updates.
  • Run Python ETL scripts and modify or debug as needed.
  • Identify and escalate key issues to the project team and leadership.
  • Balance multiple projects and drive them to completion with focus.

Skills

English fluency
Communication skills
Problem solving
Organizational skills
Independent working

Tools

Python
ETL concepts

Job description

Addepar seeks a Technical Data Analyst to lead data migration, conversion and validation for client projects. The role requires a solid understanding of financial portfolio data, Python basics, and strong communication to ensure deadlines and quality standards are met.

Applicants must have the right to work in the United Kingdom from day one; visa sponsorship is not available. You will collaborate with global teams across locations to optimize data workflows and automation.

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