Remote Market Data Operations Analyst

Alpaca

United States

Remote

USD 70,000 - 100,000

Full time

3 days ago
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Benefits offered by this job

Health Benefits
Stock Options
One-time USD 500 home-office setup
Monthly USD 150 stipend

Job summary

Alpaca is seeking an Operations Analyst for Market Data to oversee data licensing, usage reporting, and entitlements that underpin our market data product. You will ensure compliance with data sources while supporting millions of users.

The role involves collaborating with data sources, brokers, and internal teams across market data, sales, legal, finance and engineering to scale our data offerings.

Qualifications

  • Excellent communication and collaboration skills.
  • Highly organized, able to manage many recurring deadlines across multiple counterparties.
  • Ability to read and interpret contract and licensing terms.
  • Strong Excel/Google Sheets skills.
  • Exceptional attention to detail and accuracy.

Responsibilities

  • Manage new data licenses and renewals with all data sources.
  • Track license terms, renewal dates and obligations.
  • Prepare and submit monthly usage reporting for each data feed.
  • Monitor licensing of brokers/partners distributing data.
  • Enable/disable data feeds in line with licensing and contracts.
  • Respond to data source audits and inquiries, keeping records up to date.
  • Identify opportunities to automate licensing, reporting and entitlement processes.
  • Assist with customer support queries regarding data feeds or licensing.

Skills

Communication
Organizational skills
Contract interpretation
Excel/Sheets
Attention to detail
Operations experience

Job description

Alpaca is seeking an Operations Analyst for Market Data to oversee data licensing, usage reporting, and entitlements that underpin our market data product. You will ensure compliance with data sources while supporting millions of users.

The role involves collaborating with data sources, brokers, and internal teams across market data, sales, legal, finance and engineering to scale our data offerings.

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