Analytics Consultant
Wells Fargo
- Location
- Bengaluru, India
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 8, 2026
Skills
About this role
Job Description
About this role: Wells Fargo is seeking a Analytics Consultant In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education Desired Qualifications: Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Strong hands-on experience with SQL, SAS, Python, Power BI, and Tableau for data analysis, visualization, and reporting. Experience in Power Automate, workflow automation, and applying Machine Learning techniques to solve business problems. Proven ability to design and deliver end-to-end analytical solutions, including data extraction, transformation, modeling, automation, reporting, and insight generation. Demonstrated expertise in developing scalable and efficient analytical processes that enable data-driven decision-making. Good understanding of Software Development Life Cycle (SDLC), production support, release management, and deployment best practices. Job Expectations: Intellectually curious/ quick thinker Good data interpretation and presentation skills Willingness/ability to take ownership of a project Being able to adapt to change Thrives in a collaborative team environment and is able to work effectively with teams in remote locations Comfortable in a virtual environment, e.g. conference calls and webinars Bring a culture of operational excellence and enhancements Good team player Relationship Management Excellent verbal, written, and interpersonal communication skills and demonstrate strong presentation skills Engage with cross culture team members and stake holders Engagement and work with multiple senior management stakeholders Posting End Date: 12 Sep 2026 *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