Senior AVP - Senior Analytics Consultant

110380-IND-BENGALURU-INTL BLR Twr-1&2 CARNATION, India

Wells Fargo

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About this role:

Wells Fargo is seeking a Senior Analytics Consultant


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

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

  • 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


Desired Qualifications:

  • Ability to develop partnerships and collaborate with other business and functional areas

  • Proven organization, self- management, collaboration, leadership skills.

  • Experience with iterative development approach.

  • Excellent verbal, written and interpersonal communication skills.

  • Demonstrated ability to create and improve process through strategic thinking.

  • Knowledge and understanding of data warehouse or data mart concepts

  • Experience writing data wrangling and ETL processes

  • Experience developing reports and dashboards

  • Hands on experience with SAS

  • Hands on experience with SQL

  • Hands on experience with Microsoft Power BI

  • Hands on experience with Python, Alteryx is a plus

  • experience with SQL Server Integration Services good to have

  • Data lake/Dremio exposure.

  • Knowledge of basic ML, NLP, Gen AI using Python


Job Expectations:

  • Responsible for very complex partner assignments to identify and define strategic business issues that require analyses and translates this information into insight, knowledge and understanding of the business and the industry. Consults and performs very complex analyses/ analysis design involving data mining from multiple sources, financial, comparative analysis, customer/demographic analysis, etc. Analytics involved generally span multiple functional areas/business lines/data sources.

  • Responsibilities also include identifying opportunities for participating in and/or leading management information capabilities development work; interpreting and presenting results of analyses and recommendations to senior management.

  • Ensures adherence to data management/data governance regulations and policies. Data involved may be very large, structured or unstructured, and from multiple sources.

  • To a certain degree, may be involved directly or indirectly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, etc. that enable analysis, modeling, and/or data visualization. Leads project/virtual teams & mentors lower level staff.

  • Good to have Experience with Wealth and Investment Management Data and Systems

  • End to end project execution, delivery and stakeholder management

Posting End Date: 

13 Mar 2025

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

We Value Diversity

At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.

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 US: 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.

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 Data governance Data management Data Mining Data visualization Data warehouse Engineering ETL Generative AI Machine Learning NLP Power BI Python Research SAS SQL

Region: Asia/Pacific
Country: India

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