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1 день назад

Sr Operations Analytics Manager (Fintech)

105 000 - 160 000$
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

Текст:
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TL;DR
Sr Operations Analytics Manager (Contact Center Analytics/SQL): Analyzing high-volume contact center data and building dashboards that improve operational performance and the Member Experience with an accent on KPI analysis, data storytelling, and AI-assisted analytics. Focus on diagnosing root causes, managing complex analytical portfolios, and influencing operational decisions without direct authority.

Location: Hybrid role based in Lehi, Utah, or San Francisco, California. In-office attendance is required on Tuesdays, Wednesdays, and Thursdays; remote placement will not be considered. Local MT or PT working hours are required, with travel to hirify.global offices or other locations as needed.

Salary: $105,000–$160,000 target base salary annually, plus potential equity and annual bonus.

Company

hirify.global, formerly LendingClub, develops focused financial products and mobile-first experiences to help millions of Americans make financial progress.

What you will do

  • Analyze contact center KPIs including volume, handle time, adherence, occupancy, and service level.
  • Identify trends, diagnose root causes, and flag operational issues before they affect members.
  • Build and maintain real-time dashboards and reporting in Tableau or Power BI.
  • Partner with business partners and external stakeholders to scope analytical questions, prioritize work, and drive decisions.
  • Manage a high-volume portfolio of quick-turn requests and strategic analytical projects.
  • Use AI tools where appropriate and present clear data stories that turn analysis into action.

Requirements

  • 3–5 years of experience in analytics, business intelligence, or operations analytics, plus a bachelor’s degree or equivalent experience.
  • Hands-on experience with SQL, Python, SAS, R, Tableau, or Power BI, and the ability to analyze large volumes of raw data.
  • Experience with database structures, schemas, and data pipelines is beneficial.
  • Ability to lead complex analytical projects independently from scoping through recommendation and implementation.
  • Strong stakeholder management, data storytelling, communication, and prioritization skills.
  • Hands-on experience using AI tools to accelerate analysis and improve output quality, with sound judgment around data quality, compliance, and human oversight.

Nice to have

  • Experience with underwriting productivity metrics such as throughput and turnaround time.
  • Financial services experience, including personal loan or credit card portfolios.

Culture & Benefits

  • Hybrid work model supporting in-person collaboration.
  • Medical, dental, and vision plans for employees and their families.
  • 401(k) match and health and wellness programs.
  • Flexible time off policies for salaried employees.
  • Up to 16 weeks of paid parental leave.
  • Relocation support may be available based on the actual job level.

Hiring process

  • Selected interviews may be recorded, transcribed, and summarized using AI tools.
  • Candidates may opt out of recording, transcription, and summarization before scheduled interviews.

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