
Data Operations Specialist
1 week ago
We are seeking a meticulous and analytical professional to join our team as a Data Operations Specialist. The ideal candidate will have strong attention to detail and be responsible for ensuring the reliability and accuracy of business systems integrations.
Key Responsibilities- Integration Monitoring & Maintenance: Oversee the health and performance of business systems integrations, promptly identifying and resolving any issues.
- Integration Implementation & QA: Implement new features and integrations developing suitable quality assurance plans.
- Troubleshooting & Issue Resolution: Investigate and resolve operational issues across systems, collaborating with technical teams and operations teams.
- Data Procurement & Transmission: Manage SQL-based procurement and movement of critical data flows.
- Operational Analysis: Analyze system performance and data flows to detect anomalies, misalignments, inefficiencies, or opportunities for improvement.
- Documentation: Safeguard and future-proof operational process through maintaining high standards of documentation.
- Administrative Tasks: Data entry and cleaning tasks as required to fix, deploy or maintain integrations, including bulk updates.
- SQL Fluency: Demonstrated ability to turn complex data manipulation steps into efficient, comprehensible, and resilient code, including reverse-engineering existing code as needed.
- System Integrations: Familiarity with business systems integrations, data modeling, data pipelines, and concepts such as APIs and ETL.
- Analytical Mindset: Ability to critically assess operational data flows, investigate anomalies, and identify root causes of system issues.
- Attention to Detail: Proven ability to ensure data accuracy and reliability, with high sensitivity to edge cases and precision tasks such as mass updates.
- Problem-Solving Skills: Ability to approach challenges with innovation and resilience, consistently delivering effective solutions.
- Adaptability: Capacity to rapidly understand new business contexts and independently identify next actions with minimal direction.
- Experience with integration platforms (e.g., Celigo, Workato, Boomi, Zapier).
- Experience working with cloud data warehouses (e.g., Snowflake, Redshift).
- Experience working with SalesForce, or other CRM systems.
- Familiarity with scripting languages (e.g., Python, Shell scripting) for basic automations.
- Familiarity with version control in Git.
- Previous experience in an Operations, Systems Analyst, or Data Operations role supporting business-critical integrations.
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