Senior Media Analyst
Muck Rack
| Company | Muck Rack |
| Category | Marketing |
| Location | Remote (Bulgaria) |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jul 2026 |
| Last verified | 7 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack’s AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR’s impact on business outcomes. By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently.
Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and BuiltIn. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do. We're looking for an experienced Senior Media Analyst to join our Insight Production team. In this role, you'll lead the delivery of complex media insight projects from project setup through final client delivery, transforming media data into clear, accurate, and actionable insights for clients.
Working across Consultancy and Customer Support teams, you'll combine analytical expertise with AI-enabled workflows to deliver high-quality reporting, improve analytical methodologies, and continuously evolve how we produce insights. You'll also play an important role in mentoring colleagues, developing best practices, and helping the team adopt new technologies that improve quality, efficiency, and client outcomes.
What you’ll do:
Deliver Outstanding Client Insights
Lead complex media insight projects from project configuration through final client delivery, ensuring high-quality outcomes that meet client objectives
Manage multiple concurrent projects, balancing priorities, timelines, risks, and stakeholder expectations
Configure projects within internal media analysis platforms, including data sources, scoring methodologies, reporting outputs, and workflows
Partner closely with Consultancy and Customer Support teams throughout project delivery to ensure client needs are understood and successfully delivered
Drive AI-Enabled Analysis
Design, test, and refine prompts for AI and large language model (LLM) workflows supporting media scoring, sentiment analysis, and content classification
Evaluate AI-generated outputs, continuously improving prompt quality, scoring accuracy, and analytical consistency
Identify opportunities to automate manual processes and adopt emerging AI capabilities that improve productivity and client outcomes
Turn Data into Actionable Insights
Analyse complex media datasets using Power BI and other business intelligence tools to identify trends, patterns, and opportunities
Produce high-quality dashboards, reports, and presentations that communicate insights through clear and compelling business narratives
Develop reusable reporting templates, analytical frameworks, and best practices that improve consistency, quality, and efficiency across the team
Strengthen the Team
Mentor and support Media Analysts through coaching, feedback, and knowledge sharing
Maintain clear documentation of methodologies and analytical approaches
Proactively identify delivery or operational risks and recommend practical solutions
Act as a subject matter expert for AI-enabled media analysis and insight production
If the details below describe you, you could be a great fit for this role:
3–5 years of experience in communications measurement, media intelligence, media analytics, or reporting
Experience leading complex analytical projects from initiation through delivery
Hands-on experience using AI and LLM tools, including prompt design and refinement
Experience working with large, complex datasets and b