Portfolio Data Discovery Analyst (US)

Addepar

6h•$103,000 - $161,000

About The Position

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo. We are seeking a Portfolio Data Discovery Analyst to serve as a high-impact data specialist with project management skills within the Addepar Data Feed Network. This is an "early-stage" role where you are the bridge between a client's needs and a functional data integration. You will act as the primary point of contact for a diverse client base, including RIAs, Multi-Family Offices, Single-Family Offices, and Investment Banks, ensuring their unique data needs are met by our providers. The core mission of this role is to qualify new data transmissions and deliver them to our build teams in a "ready-to-build" status. You aren't just a coordinator; you are the quality gatekeeper. You will navigate provider technical limitations and drive engagement to ensure we receive the specific data points, such as additional columns or files, necessary to build robust transformation logic. Growth, Impact, and Success: Scale the Network: You will directly fuel company growth by autonomously onboarding integrations that serve as the backbone for our reporting functionality. High-Velocity Execution: Success in this role means managing 6–8 discovery projects concurrently. Predictable Delivery: Our benchmark for excellence is completing 80% of discovery projects within a three-month window. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $103,000.00 - $161,000.00 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

Requirements

Experience: At least 3 years of experience in data analysis and project management. You are an analyst first, deeply comfortable with technical data development concepts and modeling, but your ability to organize and push projects forward is what truly sets you apart.
Domain Expertise: Extensive knowledge of marketable securities (Stocks, bonds, options, mutual funds, ETFs) and their lifecycle.
Technical Toolkit:
Data Analysis: Ability to query data using SQL, Python, or R within Databricks to validate file contents.
Project Management: Proficiency in Jira and Confluence for task tracking and documentation.
Data Structures: Familiarity with diverse file formats (XML, JSON, Delimited, Fixed Width, etc.) and transmission methods (SFTP, API, AWS-managed systems).
Solution-Oriented: You have a passion for problem-solving and a "driver" mentality to move projects past common vendor-related friction points.
Communication: Exceptional interpersonal skills with the ability to translate requirements between a variety of stakeholders.
Adaptability: You thrive in a fast-paced environment and can context-switch effectively between multiple simultaneous projects.

Nice To Haves

Familiarity with alternative assets (Private equity, hedge funds) is highly preferred.

Responsibilities

Lead Complex Data Projects: Gather and document client requirements, define workstream objectives, and manage expectations across internal and external stakeholders.
Ensure "Build-Readiness": Acquire data sets with sufficient data points so that the build team can execute transformation logic with minimal provider re-engagement.
Navigate Technical Roadblocks: Identify and solve for provider technical limitations or lack of engagement to keep projects moving forward.
Technical Validation: Use our modern stack to validate file contents and ensure data integrity before handoff.
Smooth Handoffs: Transition projects to the product build team for execution once discovery is complete, remaining a subject matter expert for the team as they move into production.
Process Innovation: Continually refine workflows and tools to automate and streamline the "Discovery to Build" lifecycle.
Compliance Coordination: Act as a liaison with information security or compliance teams to address specific data connectivity or encryption requirements.