Sr. Data Projects Analyst at Addepar
Edinburgh, Scotland, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

11 Oct, 25

Salary

0.0

Posted On

11 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WHO WE ARE

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, and Dubai.

Responsibilities

THE ROLE

As part of the broader Addepar Data Architecture & Integration organisation, the Data Client Projects team is responsible for converting and onboarding existing client portfolio data onto Addepar. During the lifecycle of a project, members of this team will coordinate data transmission/extraction, transform and import data, and assist with the validation of the data. Accurate and timely completion of these projects are essential in enabling our clients to take full advantage of Addepar’s reporting and analysis capabilities.

WHAT YOU’LL DO

  • Manage and complete data conversion projects of varying complexity from third-party systems and files sourced from our custodial data partners.
  • Partner with members of Sales and Services organizations to drive alignment on project cost estimates and deliverables, and to ensure positive client outcomes.
  • Develop new/improve existing python scripts and Juptyer notebooks to interact with APIs.
  • Collaborate with Product and Engineering to identify and implement process improvements and tooling enhancements that increase operational efficiency.
  • Maintain team resources and procedural documentation, and ensure metrics are accurately recorded for internal analytics.
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