Data Operations Analyst - Global Data Operations
Two SigmaAbout the Role
Two Sigma is seeking a Data Operations Analyst to join the Global Data Operations team in London. This is a hands-on, technical operating role within a service provider for data-driven operations and operational risk management. You will create, maintain, and operate optimized workflows that provide and curate data used in live trading as part of a close-knit, global team.
- Investigate and remediate production alerts using incident-specific runbooks, owning issues through to resolution or escalation
- Author and improve runbooks by applying data-management workflow standards and turning recurring fixes into clear, repeatable procedures
- Mine data to surface patterns, help root-cause issues, validate data, and reveal trends across large volumes
- Apply predefined acceptance and quality criteria to guarantee the integrity of financial data sets
- Collaborate with business partners, software engineers, data analysts, and other specialists to understand and improve business processes
Responsibilities
- Investigate and remediate production alerts using incident-specific runbooks, owning each issue through to resolution or escalation
- Author and improve runbooks, applying existing data-management workflow standards, turning recurring, ad-hoc fixes into clear, unambiguous, repeatable procedures that lower operational risk and increase throughput
- Mine our data to surface patterns and help root-cause issues, validate data, and reveal trends across large volumes
- Apply predefined acceptance and quality criteria to guarantee the integrity of financial data sets
- Collaborate with business partners, software engineers, data analysts, and other data operations specialists to understand and improve business processes
- Recommend and improve data-management policies and procedures to improve efficiency and accuracy
Requirements
- Comfort with underlying technology including UNIX/Linux command line, SQL database querying, reading logs, and navigating file systems, schedulers, and storage
- Exposure to scripting languages such as Bash, Python, or similar
- Genuine pull toward operations with ability to execute daily at volume and follow workflows precisely
- Comfort switching between systems and tools including Linux/Windows, database/file-server, UI/command-line, and text/numbers
- Strong attention to detail and exceptional verbal and written communication
- BS in a technical discipline or equivalent hands-on experience in a comparable operational or technical role
- Minimum 1 year of experience required; 1-5 years of experience preferred
- Professional experience in data operations, technical operations, or similar discipline such as data operations analyst, systems/support engineer, data analyst, process engineer, systems administration, QA, or structured operational background such as defense analysis, logistics, or maintenance technician work
- Hands-on experience performing data-management and data-quality tasks in data-intensive environments
- Desire to grow knowledge of finance and trading