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7 часов назад

Lead BI Analyst

11 667 - 13 167$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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

Lead BI Analyst (Web Analytics/eCommerce): Producing financial, marketing, and web intelligence through large-scale data analysis, dashboards, and conversion-funnel measurement with an accent on digital commerce, customer behavior, and campaign performance. Focus on designing A/B tests, automating data pipelines, modeling business trends, and translating complex analytics into actionable decisions for eCommerce and marketing stakeholders.

Location: Boston, MA, USA; some telecommuting is permitted.

Salary: $140,000–$158,000/year starting base salary for U.S.-based roles.

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, and media.

What you will do

  • Produce financial and market intelligence by querying data repositories and generating recurring reports.
  • Analyze website traffic, conversion rates, bounce rates, user behavior, product performance, and customer experience.
  • Create dashboards and present actionable insights to the Digital eCommerce team and other stakeholders.
  • Support tagging plans for web properties and conduct customer segmentation and cohort analysis.
  • Measure paid media effectiveness through attribution, click-through rates, conversion performance, and ROAS.
  • Coordinate cross-functional marketing initiatives and identify opportunities for web analytics solutions.

Requirements

  • Master’s degree in Data or Business Analytics, Engineering, Data Science, Statistics, or a related field.
  • At least three years of experience in the offered role or a data/business analyst-related occupation.
  • At least three years of experience with SQL, Power BI, Tableau, Excel, Adobe Analytics, Google Analytics, marketing analytics, eCommerce, A/B testing, and project management methodologies.
  • At least two years of experience with business operations, marketing and financial modeling, Python, and R.
  • Experience extracting and analyzing large datasets, building dashboards, automating data pipelines, and performing statistical modeling, regression analysis, and forecasting.
  • U.S.-based role in Boston with some telecommuting permitted.

Culture & Benefits

  • Inclusive workplace focused on belonging and equal opportunity.
  • Health and financial benefits, paid time away, and everyday wellness support.
  • Competitive compensation may include annual bonuses, stock grants, and comprehensive benefits.
  • In-person onboarding and/or identity verification may be required.

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