Senior Analytics Consultant - Consumer Lending DAR

107555-TX-John Carpenter Freeway, United States

Wells Fargo

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Why Wells Fargo

Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping our customers succeed. We believe that a meaningful career is much more than just a job – it’s about finding all of the elements to help you thrive, in one place.

Living the Well Life means you’re supported in life, not just work. It means having robust benefits, competitive compensation, and programs designed to help you find work-life balance and well-being. You’ll be rewarded for investing in your community, celebrated for being your authentic self, and empowered to grow. Join us!

About this role:

Wells Fargo is seeking a Senior Analytics Consultant - Consumer Lending Global Operations Data Analytic and Reporting (DAR).
 

In this role, you will:

  • Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors

  • Review and analyze moderately complex, large structured and unstructured data sets from various sources, requiring an in-depth hypothesis generation and advanced analysis of variable factors to convert data into meaningful insights and recommendations

  • Perform moderately complex data analysis to support and drive strategic initiatives and business needs

  • Develop impactful dashboards and visualizations for senior leadership, leveraging the latest data and analytics platforms to deliver next-day insights on SLAs, KPIs, and productivity metrics

  • Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements

  • Lead or participate on large cross group projects

  • Mentor less experienced staff

  • Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals

  • Leverage a solid understanding of compliance and risk management requirements for supported area


Required Qualifications:

  • 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 1+ years of Python experience

  • 1+ years of hands-on programming using SQL or SAS


Desired Qualifications:

  • Teradata & ML Experience: 3+ years of hands-on experience with Teradata/Teradata Vantage, including writing SQL queries and utilizing built-in Machine Learning (ML) functions.

  • Python & SQL Proficiency: Strong programming skills in Python and SQL, with a particular emphasis on working within Teradata environments.

  • ML & NLP Expertise: Solid foundation in Machine Learning and Natural Language Processing, with practical experience applying these techniques to real-world problems.

  • LLM & Prompt Engineering: Familiarity with Large Language Models and prompt engineering techniques is preferred, indicating an understanding of modern AI tools and their applications.

  • Consultative Problem Solving: Ability to understand business needs, develop analytical solutions, and effectively communicate insights to both technical and non-technical stakeholders.

  • Data Analysis & Insight Generation: Strong analytical skills with proficiency in data manipulation using SQL, and the ability to convert complex datasets into actionable insights for strategic decision-making.

  • Business Acumen & Multitasking: Expected to quickly grasp business concepts, manage multiple priorities, and adapt to shifting project demands.

  • Operational Metrics Development: Proven ability to design and implement operational metrics (e.g., capacity, productivity, risk) that support strategic business initiatives.

  • Collaboration & Initiative: Demonstrated ability to work well in teams and independently, take initiative, and embrace challenging assignments with a proactive mindset.

Posting End Date: 

30 Jun 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

 

Wells Fargo maintains a drug free workplace.  Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data analysis Engineering KPIs LLMs Machine Learning NLP Prompt engineering Python Research SAS SQL Teradata Unstructured data

Perks/benefits: Career development Competitive pay

Region: North America
Country: United States

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