Senior Data Product Analyst

at  Wells Fargo

APPLICANTS WITH DISABILITIES

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

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

Required Qualifications:

• 4+ years of data product or data management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educatio

Desired Qualifications:

• Proficiency in SQL
• Proficiency using Hadoop (Hive) and Teradata Database
• Excellent writing skills
• Knowledge of the modern data stack and experience with data and analytics technologies such as Google BigQuery, Alteryx, Spark, Python, etc.
• Proficiency with all Microsoft Office applications
• Proficiency with Data Visualization tools such as Tableau
• Experience with the agile scrum framework
• Experience working in a product team
• High degree of intellectual curiosity and desire to learn and discover
• Experience working with data in the financial services industry
• Experience developing and publishing content with SharePoint and Confluenc

Wells Fargo is seeking a data product analyst to design our next generation of strategic data products for Consumer banking. The Analytic Enablement (AE) team ensures the global consumer analytics community (~2,500 people) has the platforms, tools, resources, and data to be highly effective. This position is highly focused on ensuring analytics teams have the data they need to be highly effective and efficient.
The Analytic Enablement team is energetically driving the modernization of data and analytics at Wells Fargo and has a strong track record of delivery that is aligned to the strategic priorities of the business. The most important characteristic of the team and its strategy is its intense focus on the success of the analyst. As such, the AE team is delivering products that will set the standard for analytic capabilities across the firm.

In this role, you will:

• Work closely with analytics teams to identify candidate data products, decompose existing business-managed datasets and pipelines, design and build next-generation prototypes, write stories for the technology build of the data products, conduct hands-on functional and performance testing, and showcase the power of the data products to prospective analytics users
• Conduct research into existing Wells Fargo data systems to discover data, evaluate its quality and fit for use, and lead efforts to augment and improve data for use in strategic data products
• Lead or participate in moderately complex data product initiatives and deliverables and contribute to large-scale planning related to driving data enablement and capabilities across multiple platforms and utilities
• Review and analyze moderately complex data product challenges that require an in-depth evaluation of variable factors to drive data enablement strategies and roadmaps
• Independently resolve moderately complex data product issues and lead team to meet data product deliverables while leveraging solid understanding of data, analytics, and integration needs of line of business partners that impact prioritization, roadmap, and architecture design
• Collaborate and consult with peers, colleagues, and mid-level managers to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms, resolve data product issues, and achieve goals; may lead projects, teams or serve as a mentor for lower-level staff
• Provide input on new use case intake, prioritization, product roadmap definition, and other critical business processes
• Manage moderately complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance and standards
• Create and maintain data product roadmaps and documentation throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities
• Serve as a liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle

Required Qualifications:

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

Desired Qualifications:

• Proficiency in SQL
• Proficiency using Hadoop (Hive) and Teradata Database
• Excellent writing skills
• Knowledge of the modern data stack and experience with data and analytics technologies such as Google BigQuery, Alteryx, Spark, Python, etc.
• Proficiency with all Microsoft Office applications
• Proficiency with Data Visualization tools such as Tableau
• Experience with the agile scrum framework
• Experience working in a product team
• High degree of intellectual curiosity and desire to learn and discover
• Experience working with data in the financial services industry
• Experience developing and publishing content with SharePoint and Confluence

Job Expectations:

• Candidate must reside within a reasonable commute to one of the site locations; however, the position is eligible to work from home in a hybrid model.
• Must be available to work a hybrid model where you will be working in office 3 days a week and 2 days at home a week (subject to change based on business need).
• Position is not sponsorship eligible.