Analytic Consultant 5 - Self-serve Analytics on Big Data in San Francisco, California | DiversityInc Careers
 
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Analytic Consultant 5 - Self-serve Analytics on Big Data

Job Description

At Wells Fargo, we want to satisfy our customers’ financial needs and help them succeed financially. We’re looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you’ll feel valued and inspired to contribute your unique skills and experience.

Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.

Wells Fargo’s Chief Administrative Office (CAO) consists of enterprise functions that work together to promote and protect the Wells Fargo culture and brand, and support our team members. Groups within CAO work to protect our reputation, tell our story, bolster team member engagement, connect with our customers, and bring new and innovative solutions to life. CAO functions include Commitment to Customer, Corporate Responsibility & Community Relations, Data Management & Insights, Human Resources, Marketing, Stakeholder Relations, and the CAO Integration and Planning Office.

WF is in the process of transformational change in the data and analytics domain. With the unprecedented amount of data getting generated about our customers, their products and our business operations, we see an opportunity to harness this data in a thoughtful way to improve customer value, drive growth, and manage our operating costs and the risks of doing business. Initiatives within the bank such as the data lake initiative, the machine learning initiative are just some activities currently underway at the bank to get the most value out of data.

As we look to transform our internal data management capabilities, we are looking for an experienced analytic consultant to drive the build out of self-service analytics on Big Data and its productionalization. This team member would sit within the Enterprise Analytics organization (part of DMI) and be responsible for the identification and evaluation of self-service analytic capabilities, tools evaluation and on-boarding, and the change management needed to drive adoption. The role has an opportunity to shape the evolution of data analytics within WF.

This experienced analytic consultant will have meaningful technical background and experience in the Big Data (Hadoop and Spark) ecosystem and in using analytic tools that are Big Data-native or have effective ways of interfacing with the Big Data ecosystem. The team member would have led similar such efforts to evaluate and onboard new tools in other groups or organizations, and in driving change management activities to enable technology adoption. The candidate would need to possess excellent communication and influencing skills. They would have the ability to earn trust from both business and technology partners through empathetic understanding of their needs, the articulation of a compelling vision and follow through with delivery against that vision.

KEY RESPONSIBILITIES INCLUDE:

  • Defining the requirements for self-serve analytics on Big Data platforms, from different types of analytic users.
  • Mapping the requirements to tools and capabilities available on the Big Data platform, identifying gaps, partnering with the Big Data technology teams to identify products and technologies that can close the gaps.
  • Performing functional and non-functional evaluations of tools, partnering with technology and analytic users across the Bank.
  • Identify blockers to adoption amongst the analyst user community and design strategies to overcome the blockers.
  • Leading the change management (adoption, training) of new tools and technologies with analytic users.

Data Management and Insights (DMI) is transforming the way that Wells Fargo uses and manages data. Our work enables Wells Fargo to empower and inform our team members, deliver exceptional experiences for our customers, and meet the elevated expectations of our regulators. The team is responsible for designing the future data environment, defining data governance and oversight, and partnering with technology to operate the data infrastructure for the company. This team also provides next generation analytic insights to drive business strategies and help meet our commitment to satisfy our customers’ financial needs.



Required Qualifications

  • 8+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  • 3+ years of experience researching new technologies, performing proof-of-concepts and recommending solutions
  • 3+ years of Big Data experience
  • 3+ years of experience capturing and documenting complex business and functional requirements
  • 3+ years of process definition and documentation experience



Desired Qualifications

  • Extensive knowledge and understanding of research and analysis
  • Strong analytical skills with high attention to detail and accuracy
  • Excellent verbal, written, and interpersonal communication skills
  • Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills



Other Desired Qualifications
  • 8+ years of wide-ranging analytics experience, in areas such as SQL based analytics, business intelligence and reporting, machine learning/ statistical modeling
  • 5+ years’ experience working effectively analytic teams, and delivering on business needs, and partnering closely with technology
  • 3+ years’ experience building and applying analytics in the financial services domain
  • 3+ years’ experience with operationalizing analytic solutions and integrating them with production data sources
  • 3+ years’ experience with analytics on Hadoop/ Apache Spark, and/ or with self-service analytic tools that work on Hadoop/ Apache Spark
  • Experience working with analytic users’ needs, and design of analytic environments/ tools based on those needs
  • Experience with enterprise needs for software products such as security protocols, access control, architectural compatibility
  • Experience with evaluating new tools and technologies, interfacing with vendors to map product capabilities to needs




Street Address

CA-Concord: 1655 Grant Street - Concord, CA
CA-SF-Financial District: 550 California St - San Francisco, CA
MN-Minneapolis: 255 2nd Ave S - Minneapolis, MN
NC-Charlotte: 401 S Tryon St - Charlotte, NC
NC-Charlotte: 1525 W Wt Harris Blvd - Charlotte, NC
NC-Winston Salem: 809 W 4 1/2 St - Winston Salem, NC
AZ-Chandler: 2700 S Price Rd - Chandler, AZ
AZ-PHX-Northwest Phoenix: 2222 W Rose Garden Ln - Phoenix, AZ
IA-West Des Moines: 7001 Westown Pkwy - West Des Moines, IA
MO-Saint Louis: 1 N Jefferson Ave - Saint Louis, MO
TX-Irving: 2975 Regent Blvd - Irving, TX



Disclaimer


All offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.



Relevant military experience is considered for veterans and transitioning service men and women.

Wells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.


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