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Wells Fargo este o companie multinațională de servicii financiare care activează în domeniul bancar și al produselor financiare conexe. Oportunitățile sale de angajare includ poziții pentru profesioniști aflați la început de carieră, specialiști cu experiență și lideri, cu accent pe colaborare, inovație și o cultură organizațională incluzivă. Compania evidențiază, de asemenea, programe de dezvoltare concepute pentru a sprijini evoluția profesională în cadrul forței sale de muncă extinse.
Senior Analytics Consultant, CDO Analytic Engineering
Develop reusable data products, SQL solutions, Power Apps, and automated workflows for Wells Fargo. Help strengthen banking operations, data quality, and data-informed decisions.
Descriere
- Create data movement and validation solutions with SQL, Alteryx, Power Automate, and data pipelines
- Implement rules, controls, and orchestration processes that preserve data integrity across systems
- Develop Power Apps from concept to delivery, covering user experience, data models, and Power FX for validation, approvals, and data movement
- Create reusable data assets such as semantic models, curated tables, and data dictionaries
- Develop production SQL with complex joins, analytical queries, and optimized solutions for enterprise data environments
- Convert unclear business requirements into scalable analytics, process automation, and Power Apps solutions
- Contribute to the bank’s AI and data modernization initiatives
- Partner with business stakeholders to deliver solutions that increase operational efficiency and improve business decisions
Cerințe
- At least four years of experience in analytics, reporting, or data modeling, or equivalent experience demonstrated through work, military service, and education
- Experience creating automated workflows with Alteryx, Power Automate, or similar data automation platforms
- Experience developing business solutions with Microsoft Power Apps or a comparable low-code platform
- Strong SQL development skills, including complex joins, analytical queries, and dimensional data modeling
- This role does not offer visa sponsorship or visa transfers
- Advanced degree in statistics, finance, engineering, economics, or another quantitative field
- Professional certification in the analytics technology stack, such as DP-600, PL-300, Alteryx Designer Advanced, Databricks Data Engineer, dbt Analytics Engineer, or an equivalent credential
- Experience using agentic AI tools such as Claude Code or GitHub Copilot, with harness-based techniques including skills, instructions, automation, and hooks for data and analytics development
- Strong analytical ability to turn findings into executable plans that advance business metrics
- Strong project management ability, including prioritization, deadline management, and effective work in a dynamic, complex, regulated environment
Beneficii
- Hybrid schedule with three days in the office and two days working remotely each week
- Equal opportunity employer
- Medical accommodation support is available during the application or interview process
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