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7 часов назад

Manager, Customer Business Analytics

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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, Customer Business Analytics (SAS/SQL/Python/R): Developing customer journey insights, analytical frameworks, models, and forecasts to improve prequalification, conversion funnels, and business performance with an accent on customer behavior, segmentation, and data quality. Focus on analyzing complex datasets, identifying funnel friction and drop-off points, and presenting recommendations that influence senior leadership decisions.

Location: Newark, Delaware, United States; flexible hybrid working arrangements

Company

hirify.global helps students plan and complete higher education and prepare for life after school through education-focused financial services.

What you will do

  • Develop analytical frameworks and insights to improve business performance and optimize conversion funnels across customer touchpoints.
  • Analyze customer journey data from prequalification through application and conversion to identify trends, friction points, drop-offs, and engagement opportunities.
  • Build models and forecasts that support business planning and decision-making.
  • Conduct deep-dive analyses of customer behavior, channel performance, and segmentation opportunities.
  • Present findings and recommendations to senior leadership and collaborate with cross-functional stakeholders.
  • Monitor data sources and implement quality-control processes to ensure data integrity and accuracy.

Requirements

  • Strong experience with SAS, SQL, Python, R, or other programming languages used in analytics.
  • At least 5 years of analytics experience and at least 2 years managing cross-functional projects.
  • Experience leading projects and delivering high-quality analytics outputs.
  • Strong communication, problem-solving, critical-thinking, and cross-functional collaboration skills.
  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.
  • Bachelor’s or master’s degree in mathematics, statistics, economics, computer science, or a related field is preferred.

Nice to have

  • Experience in e-commerce or retail analytics.

Culture & Benefits

  • Flexible hybrid work arrangements.
  • Competitive base salary and bonus incentives.
  • Generous paid time off, floating holidays, and 12 observed federal holidays.
  • Retirement 401(k) with employer match and comprehensive medical, dental, vision, insurance, and disability benefits.
  • Paid parental leave, adoption reimbursement, tuition reimbursement, family scholarship programs, and career development opportunities.
  • Wellness programs, employee assistance counseling, fitness benefits, and financial-well-being support.

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