Description review

Marketing Analyst Intern

talentpluto · United States · back to the listing

HR standards

71/100

solid

Title ↔ description

69/100

needs work

Reads as

Data Analyst

98% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Location: Remote (United States)

Work Model: Remote

Industry: AI recruiting and talent marketplace (B2B SaaS)

Compensation: $20–$35 per hour

About the Company

TalentPluto is a Y Combinator-backed startup building the hiring stack for high-growth companies. We run two connected products: a talent network that places engineering, go-to-market, and operations people into fast-moving startups, and an AI recruiting tool that lets a hiring team run candidate search, tiered enrichment, rubric-based scoring, and outbound campaigns directly from their assistant. We work with dozens of venture-backed startups across AI, developer tools, fintech, and healthcare. The team is small and founder-led, and interns work on live problems rather than practice ones.

The Opportunity

This is a marketing analyst internship that sits between the data and the decision. We generate a lot of signal across outbound, inbound, content, and the product itself, and most of it goes unread. Your job is to find the pattern in it, explain what it means in plain language, and then help act on it. The analysis is only half the role: the other half is that someone changes what they do because of what you found.

You will work close to the growth function at an early-stage company, which means the questions are open rather than assigned. Expect to spend time in spreadsheets, to have to define a metric before you can report it, and to write up what you learned so it survives past the week you learned it.

Responsibilities

• Pull, clean, and analyze data across marketing, outbound, and product usage.

• Identify patterns and anomalies, and explain what is causing them in plain language.

• Build and maintain simple reporting that the team actually reads and uses.

• Define and document metrics so numbers mean the same thing week to week.

• Turn findings into concrete recommendations, and help implement the ones that get picked up.

Requirements

• Comfort with spreadsheets and basic data analysis.

• Strong attention to detail and the ability to spot patterns in data.

• Clear written communication, including explaining an insight simply to a non-analyst.

• Interest in marketing, growth, analytics, startups, recruiting, or AI products.

• Organized and comfortable working across several projects at once.

• Self-directed and comfortable working in a remote startup environment.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 4 points (from 75 before penalties). Reviewed 21 Sep 2026.