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15 часов назад

Manager, Business Intelligence (Retail Analytics)

136 200 - 204 200$
Формат работы
onsite
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
Manager, Business Intelligence (Retail Analytics) (SQL/Tableau/Snowflake): Building and optimizing BI dashboards, reporting suites, and analytical frameworks for retail and terminal operations with an accent on KPI definition, data quality, and operational profitability. Focus on translating ambiguous business questions into testable analyses, leading analysts, and developing data-driven recommendations for pricing, capacity, scheduling, and asset utilization.

Location: Newton Office, Massachusetts, United States

Salary: $136,200–$204,200 per year

Company

hirify.global is a Fortune 500 company with more than 90 years of experience serving customers, communities, and retail and terminal operations.

What you will do

  • Lead and mentor a team of BI analysts as a player-coach.
  • Partner with retail leadership and business stakeholders to define KPIs and analytical frameworks.
  • Translate ambiguous business questions into testable hypotheses, analytical plans, and actionable recommendations.
  • Develop, deliver, and optimize dashboards and reporting suites using SQL and BI platforms such as Tableau and Power BI.
  • Conduct deep-dive analyses to identify root causes, growth opportunities, and operational improvements across pricing, capacity, scheduling, and asset utilization.
  • Promote data literacy, self-service BI adoption, data quality, governance, and effective data storytelling.

Requirements

  • Bachelor’s degree in business analytics, data analytics, computer science, information systems, statistics, or a related quantitative field.
  • 5–7+ years of experience in business intelligence or data analytics, with progressively increasing responsibility.
  • 2–3+ years leading projects or directly managing and mentoring analytical staff.
  • Expert SQL skills and deep experience with BI platforms including Tableau, Power BI, or Looker.
  • Experience translating business needs into analytical solutions, preferably in retail, convenience-store, e-commerce, or related industries.
  • Familiarity with data preparation and modeling tools, cloud data warehouses, Python or R, statistical analysis, forecasting, and predictive modeling.

Nice to have

  • Experience applying statistical techniques or basic forecasting models to customer behavior analysis or demand planning.
  • Exposure to dbt or sqlmesh.

Culture & Benefits

  • Medical, dental, vision, and life insurance.
  • 401(k) plan with a company match.
  • Training and career development opportunities.
  • Tuition reimbursement after six months of service.
  • Equal opportunity workplace focused on inclusion and collaboration.

Hiring process

  • Talent Acquisition reviews applications and may connect qualified candidates with the hiring manager.
  • Interviews may be conducted virtually and in person, depending on the role.

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