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16 часов назад

Marketing Analytics Engineer II

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
Marketing Analytics Engineer II (Marketing Analytics): Developing analytics solutions, data pipelines, dashboards, and predictive models for media performance, marketing attribution, consumer behavior, and KPI reporting with an accent on statistical analysis, data integration, and scalable cloud analytics. Focus on modeling campaign impact, automating workflows, building self-service reporting, and communicating complex findings to business stakeholders.

Location: Waukesha, Wisconsin, United States; occasional travel required.

Company

hirify.global develops solutions that protect homes, strengthen businesses, and support a more resilient, efficient, and sustainable energy future.

What you will do

  • Define analytical requirements with data engineering teams and marketing stakeholders.
  • Build and optimize dashboards, reporting frameworks, and KPI monitoring solutions.
  • Clean, integrate, and unify structured and unstructured data from sales, operations, and consumer behavior sources.
  • Develop, deploy, and maintain statistical and predictive machine learning models for marketing analytics.
  • Analyze campaign impact through experimentation, attribution, forecasting, and benchmarking.
  • Automate analytics workflows, document solutions, train users, and support less experienced analysts.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Marketing Analytics, or a related field.
  • At least 2 years of experience in data analytics, business intelligence, or marketing analytics.
  • Experience with media mix modeling, multi-touch attribution, incrementality testing, and A/B testing.
  • Advanced SQL and/or Python skills, with strong Power BI and Excel capabilities.
  • Familiarity with data modeling, ETL pipelines, Databricks, cloud platforms, and unstructured data analysis.
  • Strong statistical, modeling, problem-solving, communication, and stakeholder collaboration skills.

Culture & Benefits

  • Work focuses on solutions supporting homes, businesses, and sustainable energy resilience.
  • Regular computer-based work includes sitting, close vision, and frequent use of hands and communication.
  • Physical duties include standing, walking, and occasionally lifting up to 25 pounds.
  • Equal opportunity employment is provided to qualified applicants.

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