Senior Analytics Consultant

4 - 9 years

15 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About this role:
Wells Fargo is seeking a seasoned Senior Analytics Consultant to support Wealth and Investment Management (WIM) and related business lines. This role is responsible for complex partner assignments, identifying and defining strategic business issues, and translating data into actionable insights for business and industry decision-making. The consultant will lead and perform advanced analyses, data mining, financial and comparative analysis, and customer/demographic analysis, while ensuring adherence to data management and governance regulation
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 Qualification
  • Bachelors degree required; postgraduate degree in Business, Engineering, Economics, or Statistics preferred.
  • Experience in analytics, reporting, or modeling.
  • Strong knowledge of complex relational databases (Teradata, DB2, Oracle, MS SQL, etc.).
  • Proven experience in Data Quality and Data Profiling.
  • Expertise in programming utilities (SAS/SQL, Python, etc.).
  • Experience with business intelligence tools (Power BI, Tableau, Report Builder, Power Automate).
  • Experience in Exploratory Data Analysis (EDA) and predictive assessments using machine learning techniques.
  • Knowledge of Wealth Management, Banking, Lending and Trust
  • Experience using AI and Generative AI for process transformation and automation
  • Experience with iterative development approaches (Agile).
  • Experience with source control (GitHub).
  • Experience with issue and project tracking (JIRA).
  • Experience in MSBI, data modeling.
  • Work timing 1:30pm to 10:30pm.

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Wells Fargo logo
Wells Fargo

Banking and Financial Services

San Francisco

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