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We are seeking a detail-oriented Channel Operations Analyst to support and optimize third-party distribution channels. This role focuses on data management, process improvement, and cross-functional collaboration to ensure accurate data flow, streamline operations, and support strategic initiatives. Ideal candidates are analytical, highly organized, and experienced in managing complex datasets in a fast-paced environment.Responsibilities
- Support day-to-day channel operations, ensuring accurate data alignment between internal systems and external partners
- Monitor, validate, and reconcile data across multiple platforms; escalate discrepancies as needed
- Collaborate with Sales, Analytics, and cross-functional teams to support operational processes and requests
- Serve as a subject matter resource for distribution processes and channel operations
- Support channel initiatives, including process improvements and operational enhancements
- Assist with issue resolution and escalation related to channel performance and data discrepancies
- Bachelor’s degree in Business, Analytics, Operations, or related field (or equivalent experience)
- 5+ years of experience in operations, data analysis, or channel/distribution support
- Strong analytical and problem-solving skills with high attention to detail
- Advanced proficiency in Microsoft Excel (pivot tables, formulas, data analysis)
- Experience managing and reconciling large datasets across multiple systems
- Strong communication and collaboration skills across internal teams and external partners
- Ability to manage multiple priorities in a fast-paced, deadline-driven environment
- Experience with CRM, ERP, or data management systems
- Exposure to data visualization or BI tools (e.g., Power BI, Tableau, Alteryx)
- Basic knowledge of SQL or business intelligence querying
- Understanding of data governance, system integrations, and metadata management
- Experience in distribution channel operations or related industries
- Proven track record of driving process improvements and operational efficiency