Назад
Company hidden
1 день назад

Graduate Data Analyst (AdTech)

100 000 - 120 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Graduate Data Analyst (AdTech): Analyzing marketplace, product, advertising, and consumer-intent data with an accent on SQL analysis, experimentation, reusable analytics, and measurement. Focus on building trusted datasets, evaluating A/B tests and incrementality, automating recurring analyses, and developing toward analytics engineering, data science, or marketing science.

Location: New York, US; onsite in the New York office

Salary: $100,000–$120,000/year

Company

hirify.global operates a global Native Search advertising marketplace integrated with web browsers, Buy Now Pay Later apps, and AI chat surfaces.

What you will do

  • Learn the marketplace, core datasets, metrics, and Enterprise Data Model.
  • Use SQL to investigate product and marketplace performance, identify drivers, analyze trends, and communicate findings.
  • Develop reusable datasets, QA metrics, documented definitions, and scalable analytics.
  • Support experiments, A/B test analysis, statistics, causal inference, Python/R work, and marketplace science.
  • Support advertising-effectiveness and incrementality studies, including experimental QA and client-facing analyses.
  • Automate recurring work and use analytical and AI tools to improve team effectiveness.

Requirements

  • Bachelor’s or master’s degree, or equivalent experience, in a quantitative or analytical field.
  • Recent graduate, currently completing a degree, or at the beginning of a career.
  • Experience working with data through coursework, internships, research, projects, or professional work.
  • Basic SQL knowledge or demonstrated ability to learn technical tools quickly.
  • Strong quantitative reasoning and problem-solving skills.
  • Curiosity about products and businesses, clear communication, willingness to ask questions and challenge assumptions, and motivation to learn unfamiliar tools, techniques, and domains.

Nice to have

  • Python or R, SQL beyond introductory coursework, statistics, or experimental-design experience.
  • Data visualization experience and exposure to Databricks, Snowflake, dbt, Sigma, Tableau, or similar tools.
  • Experience with real-world datasets and interest in advertising, marketplaces, search, or digital products.

Culture & Benefits

  • Collaborative culture based on Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness.
  • Continuing education, management training, company-wide lunch and learns, and defined career paths.
  • Healthcare, wellness programs, paid time off, commuter benefits, and 401(k) matching.
  • Summer Fridays, catered lunches, stocked kitchen, sports teams, happy hours, and corporate retreats.
  • No third-party recruiters or unsolicited agency resumes.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →