Expert Decision Support Analyst

Location: Remote/Homebased

The Decision Support Analyst partners with clients and internal teams to transform complex marketing, media, campaign, and customer data into actionable insights, reporting solutions, and business recommendations. This highly client-facing role combines analytics, campaign support, reporting, business intelligence, and consultative problem-solving to drive informed decision-making and client success.

The analyst develops and maintains reporting solutions, validates and analyzes marketing data, monitors campaign and operational performance, and provides recommendations that improve efficiency, data quality, and business outcomes. This role also serves as a trusted advisor to clients, supporting campaign management processes, troubleshooting data issues, conducting research, and ensuring delivery of accurate, high-quality solutions.

Key areas of focus include data analysis, reporting and business intelligence, campaign measurement, client partnership, application administration, process improvement, and operational support across platforms such as Adobe, iHub, Google Cloud Platform (GCP), and BigQuery.

Client Partnership & Consulting

• Serve as a primary point of contact for clients regarding reporting, analytics, campaign management, and business intelligence solutions.
• Translate client business objectives into reporting, measurement, and analytical solutions.
• Build and maintain strong client relationships through proactive communication, consultation, and issue resolution.
• Present findings, recommendations, and insights to both client and internal stakeholders.
• Manage multiple priorities and deadlines while maintaining high levels of quality and accuracy.

Data Analytics & Reporting

• Analyze large volumes of marketing, campaign, media, and customer data to identify trends, opportunities, and business insights.
• Develop, maintain, validate, and enhance recurring, ad hoc, operational, and executive-level reports.
• Investigate data anomalies, perform root-cause analysis, and provide recommendations for corrective actions.
• Measure campaign effectiveness, operational performance, data integrity, customer satisfaction, and cost efficiency.
• Convert complex analytical findings into clear, actionable business recommendations.