Lead Data Analyst – Python ETL & Investments

Addepar, Inc.; City of Edinburgh; On-site; GBP 70,000 - 90,000; Full time

Job summary

Addepar, Inc. seeks a Team Lead, Technical Data Analyst to guide a squad of analysts and contribute hands-on to data migration and ETL work. You will shape processes, mentor team members, and ensure timely delivery within our data function.

You will work on portfolio and investment data challenges, applying Python and ETL tooling to transform complex datasets and drive project outcomes. Visa sponsorship is not available; UK work authorization required.

Qualifications

• 2+ years of related experience with a Bachelor’s degree, or 2+ years with a Master’s degree.
• Strong understanding of portfolio, wealth, or investment data structures.
• Proficiency in Python and ETL data work.
• Excellent communication and organizational skills.

Responsibilities

• Provide functional leadership and daily operational guidance to the team within the technical data function.
• Execute hands-on contribution to projects through data migration and data transformation using Python-based ETL tools.
• Manage the team’s work allocation and coordinate activities to ensure results are driven by the team in collaboration with others.
• Guide the team in issue resolution and elevate blockers proactively, maintaining alignment with stakeholders.
• Support career development by providing continuous feedback loops on technical and project execution.
• Identify and drive opportunities to improve tools, workflows, and automation for greater efficiency.

Skills

ETL workflows

Data transformation

Education

Bachelor's or Master's degree in a relevant field

Tools

Python

Job description

Addepar, Inc. seeks a Team Lead, Technical Data Analyst to guide a squad of analysts and contribute hands-on to data migration and ETL work. You will shape processes, mentor team members, and ensure timely delivery within our data function.

You will work on portfolio and investment data challenges, applying Python and ETL tooling to transform complex datasets and drive project outcomes. Visa sponsorship is not available; UK work authorization required.