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4 часа назад

Data Driven Marketing Analyst (Audience Design)

85 000 - 88 900$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Driven Marketing Analyst (Audience Design) (Python/R/SQL): Building targeted datasets and statistical models for omni-channel marketing campaigns with an accent on audience segmentation, campaign response analysis, and product and customer recommendations. Focus on developing response, performance, and lookalike models, integrating multiple data sources, and creating KPIs for decision-making.

Location: New York, NY; hybrid schedule with several work-from-home days per week

Salary: $85,000–$88,900 annually, plus eligibility for commission or an annual performance incentive plan.

Company

hirify.global is an established organization focused on data-driven marketing, customer insights, and business services.

What you will do

  • Build targeted datasets for omni-channel marketing campaigns using BI tools and data from internal and external sources.
  • Query data marts to extract relevant information and develop product, customer, segment, and business-unit recommendations.
  • Develop, test, and implement statistical response, performance, and lookalike models in R and Python.
  • Partner with internal teams to define KPIs from multiple data sources and enable new business insights.
  • Analyze complex business problems, trends, and patterns to support decision-makers.

Requirements

  • Bachelor’s degree with coursework in Computer Science, Mathematics, Economics, Statistics, or a related field, including data analytics coursework.
  • Experience with Microsoft Excel, R or another statistical modeling tool, Python, SQL, IBM SPSS, Access, and/or other database or big data tools.
  • Early-career background with approximately 1–2 years of experience in data science or related statistical and big data tools.
  • Must have US work authorization that does not require employer support now or in the future; visa sponsorship is not available.
  • Must be at least 18 years old.

Nice to have

  • Experience using statistical modeling tools and big data tools.
  • Ability to prioritize multiple projects, work independently and collaboratively, and drive projects forward.
  • Strong attention to detail, accuracy, communication, and consensus-building skills.

Culture & Benefits

  • Hybrid flexibility with several remote workdays per week.
  • Healthcare coverage including medical, dental, and vision insurance.
  • Paid time off, volunteer time off, and holidays.
  • Employer-matched retirement plan and employee stock purchase plan.
  • Tuition reimbursement, paid parental leave, disability coverage, and family-building assistance.
  • Recognition for workplace culture, inclusion, and employee wellbeing.

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