RemoteLeads

Description

• Create templates, automation workflows, status reports, and system configurations.
• Build scalable data models for reporting and business intelligence initiatives.
• Conduct ad hoc analyses and present actionable findings.
• Develop dashboards, visualizations, and data views using BI tools.
• Create analytics and reporting solutions for hybrid terrestrial and Ku-band satellite delivery systems.
• Analyze RF and video performance data to identify trends, anomalies, and optimization opportunities.
• Use DataMiner, Qligent, or similar platforms for monitoring and operational reporting.
• Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
• Communicate findings and solutions clearly to stakeholders and clients.
• Manage multiple priorities independently while maintaining attention to detail.

Requirements

• 5–7 years of experience in data analysis, business intelligence, analytics, and database architecture.
• Experience with RF and/or video monitoring and analysis in broadcast, video delivery, or hybrid terrestrial/satellite environments.
• Experience with DataMiner and Qligent is required.
• Proficiency with Azure, SQL, and XML.
• Strong experience with ETL/ELT tools and techniques.
• Proficiency developing Power BI and Tableau dashboards and visualizations.
• Ability to document, interpret, and follow business requirements.
• Strong communication and collaboration skills in cross-functional enterprise environments.
• Business acumen with the ability to translate data into meaningful recommendations.
• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field, or equivalent education and experience.
• Must be authorized to work in the United States without visa sponsorship or transfer; no C2C arrangements.

Benefits

• Annual salary range of $85,000–$120,000.
• Long-term, fully remote consulting role.
• Opportunities for professional career growth and development.
• Collaborative, communicative consulting culture.
• Digital workforce environment with autonomy and self-managed workloads.