Digital Marketing Intern - Technical AI & Automation at Eulerity
New York, NY
$16–$18/hrfrom the description
Jul 9, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A summer internship embedded within a Technical Operations team at a marketing automation company, focused on analytical work rather than traditional marketing tasks. Day-to-day responsibilities include diagnosing underperforming ad campaigns, building decision-support models in Excel and Sheets, auditing campaigns across large multi-location accounts, and cleaning and analyzing data from platforms such as Google Ads and Meta. Best suited to a quantitatively oriented student or recent graduate comfortable with spreadsheets and basic code literacy.
Junior level · New York-Newark-Jersey City, NY-NJ-PA · Internship
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 940 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (operations research analysts). range 710–1,200
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $105,377 (middle half $70,620–$142,915). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This is a summer 2026 internship (hybrid, NYC office 3–4 days/week, minimum 20 hrs/week) with potential to extend based on performance.
Excel (or Google Sheets) is the most heavily emphasized hard skill — the JD explicitly gates on pivot tables, lookups, conditional logic, and model-building from scratch.
Code literacy in SQL, Python, or JavaScript is required, but the JD explicitly states the candidate does not need to write code from scratch — only read and understand it. These are treated as a single interchangeable gate on basic code literacy, with Python listed as the primary and JavaScript as an alternative.
Google Ads, Meta, and LinkedIn are listed as data sources the intern will pull from, but no prior platform experience is stated as a requirement — marked as preferred.
SOC classification is a genuine judgment call: the role is analytical/data-focused (campaign diagnostics, model-building, data cleaning) but sits within a marketing operations context. 15-2031 (Operations Research Analysts) was chosen over non-technology because the primary day-to-day work is quantitative data analysis, not marketing execution.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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