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1 день назад

Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering (AI)

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

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TL;DR
Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering (AI): Building scalable marketing data pipelines, reporting ecosystems, measurement frameworks, and AI-enabled analytics capabilities with an accent on data foundations, business intelligence, and cross-channel measurement. Focus on developing conversational analytics, anomaly detection, attribution, forecasting, and actionable marketing performance insights.

Location: San Jose; hybrid work with office attendance a minimum of 3 days a week

Company

hirify.global is a marketing and analytics organization focused on enterprise B2B marketing measurement and decision-making.

What you will do

  • Design, build, and maintain scalable data pipelines integrating marketing, CRM, web analytics, partner, and business outcome data.
  • Develop unified data models, reporting datasets, semantic layers, dashboards, calculated metrics, and reusable reporting structures.
  • Translate business objectives into KPIs, measurement frameworks, performance baselines, and reporting solutions.
  • Conduct campaign analysis, analytical deep dives, attribution, forecasting, trend analysis, audience segmentation, and marketing effectiveness studies.
  • Support AI-enabled analytics, automated insight generation, anomaly detection, alerting, and conversational analytics through natural language.
  • Partner with Marketing Science, Media, CRM, Analytics, and Engineering teams and present findings and recommendations to stakeholders.

Requirements

  • Bachelor's degree in Business Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.
  • 3–5 years of experience in Marketing Analytics, Business Intelligence, Data Analytics, Data Engineering, or Marketing Science.
  • Strong SQL skills and experience working with large and complex datasets.
  • Experience building and maintaining data pipelines, ETL/ELT processes, and data integration workflows.
  • Hands-on experience developing dashboards and business intelligence solutions.
  • Familiarity with cloud-based data platforms, modern data architectures, analytical problem-solving, and stakeholder communication.

Culture & Benefits

  • Competitive benefits package with extra maternity and parental leave days.
  • Vacation, compassionate leave, sick days, and flex days.
  • Access to online services for families and new parents.
  • Diversity and Inclusion Board with 12 affinity groups.
  • Internal learning and development programs.
  • Enterprise-wide employee discounts.

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