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Data Analyst, Advertising Insights & Strategy

Job in New York, New York County, New York, 10261, USA
Listing for: MediaRadar
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing
  • Marketing / Advertising / PR
    Digital Marketing
Salary/Wage Range or Industry Benchmark: 55000 - 75000 USD Yearly USD 55000.00 75000.00 YEAR
Job Description & How to Apply Below
Location: New York

Location:
Remote US, NYC preferred (Eastern or Central time zone)

About Media Radar

Media Radar, now including the data and capabilities of Vivvix, powers the mission-critical marketing and sales decisions that drive competitive advantage. Our competitive advertising intelligence platform enables clients to achieve peak performance with always-on data and insights that span the media, creative, and business strategies of five million brands across 30+ media channels. By bringing the advertising past, present, and future into focus, our clients rapidly act on the competitive moves and emerging advertising trends impacting their business.

Role Overview

The Data Analyst, Advertising Insights & Strategy is an entry-level role built for someone early in their career who wants to grow into a client-facing analyst. You ll support our custom analytics engagements, including our work for major enterprise accounts, by pulling and organizing enriched competitive advertising data, surfacing creative assets, and building the first pass of analysis that our client-facing analysts use to shape their recommendations.

This role is horizontal across the business, meaning you ll support multiple accounts and projects rather than a single client, and it s designed to build the skills needed to grow into a more senior, client-facing analyst role over time.

Responsibilities Data Analysis & Reporting Support (≈60%)
  • Data Retrieval:
    Pull enriched competitive advertising datasets (spend, placement, and creative data) from Media Radar s internal tools for assigned accounts and projects.
  • Share-of-Spend Analysis:
    Analyze share-of-spend activity across a brand and its competitors to identify which advertisers are gaining or losing ground.
  • Creative Surfacing:
    Run scripts and use internal tools to surface top-contributing creative assets tied to spend activity, rather than locating them manually.
  • Early Hypothesis Development:
    Extract metadata and themes from creative and spend data to build an early, data-backed hypothesis (e.g., “advertisers are leaning into rewards messaging this quarter”) that senior analysts can validate and build into a client-ready story.
  • Quality Assurance:
    Check data for anomalies or inconsistencies before handing off analysis to the client-facing analyst team.
Cross-Account Support & Growth (≈40%)
  • Multi-Account Support:
    Provide analytical support across several accounts and projects rather than a single dedicated client, gaining broad exposure to different verticals and use cases.
  • Frontline Analyst Team Support:
    Serve as the supporting analyst behind our client-facing team, handling the groundwork so senior analysts can focus on client strategy and delivery.
  • AI-Forward Tooling:
    Use AI tools, including Claude, as part of your daily workflow to speed up data pulls, first-pass analysis, and reporting — while learning when to rely on it and when to apply your own judgment.
  • Skill Building:
    Learn Media Radar s data taxonomy, internal tools, and analytical methodology with the goal of progressing toward a client-facing analyst role.
  • Team

    Collaboration:

    Work closely with the analyst and project management team to understand project goals and deliver work on time.
Qualifications
  • Education:

    Bachelor s degree in Business Analytics, Marketing, Communications, Media, Data Science, or a related field (recent graduates encouraged to apply).
  • Experience:

    0–1 years of professional experience; relevant internships, coursework, or project experience in analytics, marketing, or media are a plus. No prior advertising industry experience required.
  • Technical Curiosity:
    Comfortable working with data and spreadsheets (Excel/Google Sheets); interest in or exposure to data visualization tools (e.g., Tableau) is a plus.
  • AI Fluency:
    Genuine interest in using AI tools like Claude to work more efficiently, paired with the judgment to know when to double-check its output.
  • Communication:
    Strong writing and organizational skills; able to summarize findings clearly for a technical, internal audience.
  • Aptitude:
    Detail-oriented, curious, and eager to learn; comfortable managing a few different assignments at once and asking questions when needed.
Preferred…
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