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Wells Fargo
Wells Fargo
H1B vizasi homiysiBank ishiLogistikaSug‘urta
Wells Fargo bank ishi va unga aloqador moliyaviy mahsulotlar sohasida faoliyat yurituvchi ko‘pmillatli moliyaviy xizmatlar kompaniyasidir. Kompaniyaning ishga qabul qilish yo‘nalishlari faoliyatini endi boshlayotgan mutaxassislar, tajribali ekspertlar va rahbarlar uchun imkoniyatlarni qamrab oladi. Bunda hamkorlik, innovatsiyalar va inklyuziv ish muhiti alohida ta’kidlanadi. Shuningdek, kompaniya keng xodimlar jamoasining martaba rivojini qo‘llab-quvvatlashga mo‘ljallangan rivojlanish dasturlarini ham taqdim etadi.
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Kompaniyadagi ish o‘rinlari

Lead Analytics Consultant, Branch Banking

Lead analytics for Wells Fargo branch staffing and customer experience. Build workforce planning models, dashboards, and data-driven strategies for its retail network.

USAmerika Qo‘shma ShtatlariNCShimoliy KarolinaTXTexasGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
PythonSQLTableau

Tavsif

  • Use advanced analytics, workforce planning, customer behavior, and operational data to guide branch staffing strategies.
  • Improve customer and employee experiences across the retail network.
  • Turn complex data into recommendations that shape staffing, service delivery, and strategic decisions.
  • Advise business lines and companywide functions using performance metrics, population trends, and complex data analysis.
  • Find new tools and methods for analyzing data.
  • Keep managed projects aligned with applicable compliance requirements, laws, and policies.
  • Report on project logs, monthly budget forecasts, newsletters, and operations reviews.
  • Help managers develop quarterly and annual plans and anticipate future market research needs.
  • Work with colleagues and mid-level to senior managers to resolve issues and meet goals.
  • Lead projects and teams, and mentor staff, interns, and external contractors.

Talablar

  • At least 5 years of analytics experience, or equivalent experience demonstrated through work, training, military service, or education.
  • At least 3 years applying quantitative analysis, statistical methods, or predictive analytics to complex business problems.
  • At least 3 years using SQL to extract, manipulate, and analyze large datasets.
  • At least 2 years developing dashboards, reporting solutions, or data visualizations with Power BI, Tableau, or similar tools.
  • Willingness to travel up to 10% of the time.
  • Visa sponsorship is not available for this position.
  • Proficiency in SQL, SAS, and Python.
  • Working knowledge of data visualization tools, preferably Power BI or Tableau.
  • Experience with business performance analytics and KPI development.
  • Experience in financial services, retail or branch banking, or customer analytics.
  • Ability to explain complex data clearly and build productive relationships across business and technical teams.

Imtiyozlar

  • Hybrid work schedule.
  • Equal opportunity employment.
  • Medical accommodations during the application or interview process.
  • Drug-free workplace.

O‘xshash ish o‘rinlari

Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

Ochish
GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish