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4 часа назад

Business Operations Lead Analyst (Fintech)

84 000 - 132 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
c1
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

Business Operations Lead Analyst (Fintech): Driving sales strategy and operational rigor across the NORAM region with an accent on pipeline management, forecasting, and executive reporting. Focus on optimizing sales cadence using MEDDPPICC, translating complex data into insights, and implementing AI-enabled automation.

Location: Remote (United States)

Salary: $84,000–$132,000

Company

Global analytics software company specializing in credit scoring, fraud detection, and big data analytics.

What you will do

  • Partner with Sales leadership to manage pipeline, forecasting, and QBRs using MEDDPPICC.
  • Translate complex sales data into executive-level insights and high-impact presentations.
  • Drive regional programs including pipeline generation campaigns and sales blitzes.
  • Support territory optimization, account planning, and renewal tracking for US Financial Services accounts.
  • Manage cross-functional business operations initiatives and project workstreams.
  • Identify and implement AI-enabled tools and process automation to scale team output.

Requirements

  • 3-5 years of experience in business or sales operations within SaaS or enterprise software.
  • Must be based in the United States.
  • Proven experience supporting enterprise SaaS sales teams and navigating complex stakeholder landscapes.
  • Advanced proficiency in Salesforce, Excel, and PowerPoint.
  • Hands-on experience with MEDDPPICC or a comparable enterprise sales methodology.
  • Ability to lead calls and deliver presentations to senior executive audiences.

Nice to have

  • Experience with US Financial Services accounts (banks, credit unions, or fintech).
  • Proficiency in Tableau.

Culture & Benefits

  • Inclusive, people-first work environment with a focus on work-life balance.
  • Highly competitive compensation, benefits, and rewards programs.
  • Opportunities for professional development in the field of Big Data and AI.
  • Collaborative culture with employee resource groups and social events.

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