Data Operations Analyst
The Data Operations Analyst ensures operational data accuracy through quality assurance, SQL-based analysis, process documentation, and cross-functional issue resolution. The role requires a bachelor's degree or equivalent experience, strong attention to detail, and comfort working an overnight schedule.
About the job
Responsibilities
Quality Assurance and Documentation
- Conduct quality assurance checks on operational processes, ensuring all details are correct and error-free.
- Follow detailed processes meticulously and ensure documentation is comprehensive and up to date.
Data Analysis
- Analyze large datasets and perform quality checks using SQL and other tools.
- Identify discrepancies, optimize processes, and support business decisions.
Documentation and Communication
- Write detailed instructions and process documents, ranging from simple to complex, to guide internal teams.
- Communicate clearly and effectively in written and verbal formats, explaining complex topics understandably.
Collaboration
- Work with Product, Engineering, Sales, and Account Management teams to uphold quality standards and resolve emerging issues.
Requirements
- Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Economics, or a related field, or equivalent work experience.
- Extreme attention to detail and the ability to identify discrepancies and ensure accuracy.
- Proficiency with SQL for data querying and analysis, including work with large datasets and data integrity.
- Strong documentation skills, including the ability to create, maintain, and follow detailed process documentation.
- Excellent written and verbal communication skills.
- Ownership, accountability, and commitment to high-quality output.
- Ability to thrive in a fast-paced, dynamic environment and manage ambiguity.
Schedule
- Night shift: 10:00 pm–7:00 am BST.
- Monday through Friday.
Skills
SQL, Data Analysis, Quality Assurance, Data Integrity, Process Documentation, Data Querying, Documentation, Communication
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