Analyst, Media Measurement | Involved Media | NYC

AMS•New York, NY

12d•$70,000 - $80,000•Hybrid

About The Position

The Media Analyst supports media measurement, data visualization, and client reporting. The role builds and maintains interactive dashboards, turns complex data into clear performance summaries, and manages predictive budget tracking tools. Working with internal teams and campaign data, the Analyst monitors pacing and efficiency, maintains accurate reporting assets, and identifies performance changes and optimization opportunities. This position offers a path to grow into a client-facing data advisor.

Requirements

1–3 years of experience in marketing analytics, performance marketing, advertising, or a related field preferred.
Hands-on experience with data visualization tools such as Tableau, Power BI, and Looker Studio, with strong Excel and SQL skills for data manipulation.
Strong written and verbal communication skills, including the ability to summarize technical charts as logical business notes.
Ability to use scripting to automate analysis, data cleansing, and data integration tasks.
Strong interest and ability to translate data and research into strategic insights and recommendations.
Exposure to attribution frameworks and measurement methodologies, alongside core media metrics.
Experience with site analytics and social platforms, including Adobe Analytics and Google Analytics.
Enthusiasm for marketing and media, a detail-oriented and self-motivated approach, strong organizational skills, and a commitment to learning and taking initiative.

Responsibilities

Develop and maintain dashboards in Tableau, Power BI, and Looker Studio to track marketing performance metrics and flag pacing issues.
Use SQL queries and Excel formulas to manipulate, segment, and aggregate large data sets from platform APIs and ad-tech networks.
Summarize technical charts and campaign results in clear performance reporting for internal and external stakeholders.
Manage campaign pacing data and update predictive budget tracking models.
Monitor campaign and efficiency metrics, flag performance dips, and identify media optimization opportunities for senior leadership.
Establish data quality controls and QA validation processes to isolate tracking anomalies and reporting discrepancies.
Maintain detailed documentation of client reporting assets, tracking links, and data taxonomy mappings for internal teams.
Work with cross-functional teams to streamline project timelines, document technical workflows, and standardize best practices.
Use scripting to automate analysis, data cleansing, and data integration tasks.