# Alternatives Data Operations Analyst

**Company:** [Addepar](https://hotfix.jobs/companies/addepar)
**Location:** Edinburgh, United Kingdom
**Role:** Data Analytics
**Skills:** SQL, Databricks, Pyspark, Python, Jupyter Notebook, pandas, Excel, Jira, Confluence, Bloomberg, Pitchbook, Claude Code, Github Copilot, Data Warehousing, Data Validation
**Posted:** 2026-08-27

> Manages alternative-investment data operations, including security-master oversight, workflow controls, document interpretation, and high-volume data validation. The role requires investment-industry knowledge, strong SQL and Databricks/PySpark skills, and the ability to troubleshoot ingestion pipelines and apply AI tooling.

## Job Description

## Responsibilities
- Research alternative investments in Addepar’s global database and classify them by asset type, vintage, and strategy.
- Oversee operational workflows for alternative-data processing.
- Develop and maintain process controls and metrics to support data-quality standards.
- Partner with Research teams to implement and run data-quality validations.
- Oversee the alternatives security master and security-classification processes.
- Manage and troubleshoot end-to-end data-ingestion pipelines, resolving networking, querying, and database issues with engineering teams.
- Explore and implement AI-assisted developer tools to streamline document parsing, repetitive workflows, and validation cycles.

## Requirements
- Experience in the financial investment or advisory industry, including knowledge of capital markets and middle- or back-office operations systems.
- Preferably, experience with alternative investments, including private or drawdown fund reporting statements and data.
- Strong documentation, follow-through, problem-solving, ownership, teamwork, communication, and interpersonal skills.
- Ability to work UK hours and maintain the right to work in the United Kingdom; visa sponsorship is not available.
- Strong SQL and Databricks/PySpark experience for navigating complex data architectures, extracting audits, and validating high-volume datasets.
- Ability to interpret unstructured private-market financial data, such as Form D filings, capital account statements, and institutional investment briefs, and translate it into structured database taxonomies.

## Preferred Skills and Tools
- Microsoft Excel
- Google Workspace
- Atlassian Jira and Confluence
- SQL
- Python
- Jupyter Notebook
- Pandas
- PySpark
- Databricks
- Bloomberg
- PitchBook
- Claude Code
- GitHub Copilot
- Automated API integrations

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**Canonical:** https://hotfix.jobs/jobs/16a48cad-9163-4057-ab66-6cd008763a42