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Wells Fargo
Wells Fargo
H1B vīzas sponsorsApdrošināšanaBanku darbībaLoģistika
Wells Fargo ir starptautisks finanšu pakalpojumu uzņēmums, kas darbojas banku pakalpojumu un saistīto finanšu produktu jomā. Tā personāla atlases iespējas ietver amatus karjeras sākumposmā esošiem profesionāļiem, pieredzējušiem speciālistiem un vadītājiem, uzsverot sadarbību, inovācijas un iekļaujošu darba kultūru. Uzņēmums arī izceļ attīstības programmas, kas paredzētas karjeras izaugsmes atbalstam plašajā darbinieku lokā.
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Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisNCZiemeļkarolīnaTXTeksasaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQLTableau

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

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

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