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9 дней назад

Manager, Advanced Analytics

115 835 - 186 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Advanced Analytics (SQL/Python/R): Developing data models, complex algorithms, and actionable analytics for business areas and advertiser initiatives with an accent on statistical analysis, machine-learning modeling, and stakeholder-driven research. Focus on building production-ready solutions, validating models, monitoring advertiser metrics and KPIs, and translating large-scale data into strategic recommendations.

Location: Hoboken, New Jersey, United States; onsite at 221 River Street

Salary: $115,835–$186,000 per year, plus annual or quarterly performance incentives.

Company

A large retail and advertising organization providing data-driven solutions for sales, marketing, merchandising, and customer experience initiatives.

What you will do

  • Own analytics workstreams and projects end-to-end, managing implementation risks and operational processes.
  • Partner with directors, business stakeholders, categories, customer experience, merchandising teams, external partners, and vendors to define objectives and research plans.
  • Develop hypotheses, data models, prototypes, and production-ready algorithms to address complex business problems.
  • Lead testing, validation, data analysis, and monitoring of advertiser metrics, customer lifecycle trends, and team KPIs.
  • Present actionable recommendations and support data-driven sales, marketing, and business development decisions.
  • Guide less experienced team members and collaborate with advanced analytics experts on new analysis techniques.

Requirements

  • Bachelor’s degree or equivalent in Business, Finance, Accounting, Statistics, Data Science, or a related field plus 2 years of relevant experience, or a related master’s degree.
  • Experience using SQL and Python or R to define, extract, and analyze large datasets.
  • Experience applying statistical techniques and machine-learning modeling approaches to generate business insights.
  • Experience with Tableau dashboards, MS Excel analysis, PowerPoint presentations, and Google BigQuery or an equivalent cloud/SQL environment.
  • Experience managing multiple analytics projects end-to-end, communicating with stakeholders, and creating detailed project plans.
  • Experience validating data, resolving reporting issues, and improving data quality and coverage. Any amount of experience with the required skills is accepted.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • 401(k), stock purchase plan, company-paid life insurance, and performance-based incentive awards.
  • Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Short- and long-term disability coverage, education assistance including company-paid college degrees, and company discounts.
  • Additional benefits include military service pay and adoption expense reimbursement.

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