Senior Analyst, Media Measurement | Involved Media | NYC

AMS•New York, NY

12d•$100,000 - $125,000•Hybrid

About The Position

The Senior Analyst is a client-facing member of the Analytics team who turns media and marketing data into clear insights and recommendations that support client decisions and account growth. The role combines advanced analytics, dashboard development, data quality oversight, and client-facing communication. Working with client service, data science, the Media team, and vendors, the Senior Analyst develops performance dashboards, supports budget forecasting models, investigates performance changes, and presents actionable findings to leadership. The role develops and maintains interactive dashboards to monitor media performance and identify pacing issues; analyzes complex data to identify anomalies, market shifts, and platform baseline trends; and translates findings into storylines for business reviews and executive presentations. It uses site analytics and platform data to answer client questions and recommend practical actions. The Senior Analyst partners with data science and client service teams on budget forecasting models, applying marketing mix modeling (MMM), multi-touch attribution (MTA), and platform APIs to evaluate channel performance and baseline versus incremental brand lift. The position establishes data quality controls and QA processes, coordinates with internal teams and vendors to resolve tracking gaps and field discrepancies, and streamlines project timelines and technical workflows. It also uses scripting to automate analysis, data cleansing, and data integration. As a trusted analytical partner to enterprise clients, the Senior Analyst explains complex results clearly and proactively identifies budget risks and growth opportunities. This is a hybrid role in New York City. The salary range is $100,000–$125,000, with the successful candidate’s salary dependent on factors including current employee ranges, market and budget considerations, geography, skills, experience, and qualifications. AMS offers medical, dental, vision, disability, and 401(k) benefits, paid time off, community engagement opportunities, and learning opportunities. The company is unable to sponsor or take over sponsorship of an employment visa at this time.

Requirements

3–5 years of experience in marketing analytics, performance marketing, advertising, or a related field is preferred.
Experience with relational databases and statistical analysis or programming languages such as SQL and Python.
Advanced proficiency in building, deploying, and maintaining interactive dashboards using Tableau, Power BI, and Looker Studio.
Ability to use scripting to automate analysis, data cleansing, and data integration.
Strong written and verbal communication skills, including the ability to translate data and research into strategic insights and recommendations.
Experience with site analytics and social platforms, including Adobe Analytics and Google Analytics.
Proficiency in Microsoft Office, including Excel, PowerPoint, and Word.
Expert understanding of MMM, MTA, and platform APIs to evaluate channel performance and determine baseline versus incremental brand lift.
Strong interest in marketing and media; detail-oriented, self-motivated approach; and commitment to learning and taking initiative.

Responsibilities

Develop and maintain interactive dashboards in Tableau, Power BI, and Looker Studio to monitor media performance and identify pacing issues.
Analyze multifaceted data sets to identify performance anomalies, market shifts, and platform baseline trends, and translate findings into clear storylines for business reviews and executive presentations.
Use site analytics and platform data to answer client business questions and develop practical recommendations.
Partner with data science and client service teams to build and maintain budget forecasting models that support media efficiency and account growth.
Apply MMM, MTA, and platform APIs to evaluate channel performance and assess baseline versus incremental brand lift.
Establish data quality controls and QA validation processes, and work with internal teams and vendors to resolve tracking gaps and field discrepancies, including retroactive fixes.
Coordinate 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.
Serve as a trusted analytical partner to enterprise clients and explain complex results clearly and usefully.
Proactively flag budget risks and identify growth opportunities based on observed performance and market or platform trends.