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Senior Lead Analytics Consultant - Data Engineering

Company: Wells Fargo
Location: Saint Louis
Posted on: November 26, 2022

Job Description:

The Senior Lead Analytics Consultant role will analyze data flows, metadata, and data lineage across Consumer & Small Business Banking and Lending (CSBBL) data domains and sub-domains. This role will partner with senior data architects and strategists to define and implement tactical and strategic architectures, platforms, and frameworks based on insights gained through deep analysis. Key responsibilities include:

  • Proven hands-on development expertise in Data warehousing ETL stack and Big Data technology stack including Hadoop, Hive, Python, Java/Scala, SPARK, Tableau, AtScale etc.
  • Lead and perform current state data assessments and contribute to future state vision.
  • Contribute to and implement Data Strategy for private and public cloud.
  • Conduct deep analysis of data movement across multiple and diverse data platforms, including big data (Hadoop, Spark), NoSQL (MongoDB), traditional RDBMS (Oracle, SQL Server, Teradata, etc.) and mainframe (VSAM).
  • Develop a comprehensive understanding of data lineage and usage patterns from external vendors through internal systems or origin (SOO), systems of record (SOR), operational data platforms, Authorized Provisioning Points (APP) and reporting & analytics.
  • Conduct analysis for metadata availability and completeness for applications along the data pathway (data lineage). Identify and remediate gaps in technical and business metadata, improve usability of Enterprise data assets.
  • Design reusable frameworks for data engineering and establish architecture patterns for data engineering across traditional and big-data solutions, based on insights gained during current state data assessments
  • Advanced level expertise in building high performance data and analytical products
  • Ability to conduct technical training sessions for technical and business users This role will also work closely with the rest of the Enterprise Data & Analytics Engineering & Architecture team Other responsibilities/experience needed for this role include:
    • Partner with Line of Business and Technical leaders to design and implement data solutions for data pipeline, ingestion, conformance and fit for purpose use cases.
    • Partner with Enterprise data teams and Line of Business partners on customer-centric view of the data, data reuse, and data consistency across all customer interactions
      • Collaborate with Enterprise Data organization on supplying and governing Consumer data going into Authorized Provisioning Points (APP), including the Enterprise Data Lake.
      • Establish data standards and governance across CSBBL. Manage data as a strategic asset and operationalize data governance, data quality, and controls across the organization
      • Introduce and propagate modern Engineering practices around Data including reusable/configurable data pipeline, data quality controls, data access controls, and automation of data-related processes
      • Drive consistency, efficiencies, and cost benefits through establishing and continuously improving Data Integration practices and standards
        • Experience driving significant maturity improvements in low-maturity technology environments (experience consulting teams, experience collaborating across enterprise to mature technology solutions, experience delivering production great modern capabilities, experience delivering in Agile environment). Required Qualifications, US:
          • 7+ years of Analytics and Reporting, Financial Modeling, Statistics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
          • 7+ years of experience with complex data analysis across multiple applications and database platforms, including external data sources (vendors), internal SOO/SOR, and data analytics & reporting.
          • 5+ years of technical leadership or architecture experience, in a data and technical environment to include Data Engineering, Data Management, ETL, Big Data Hadoop, and AI/ML capabilities Desired Qualifications:
            • A Bachelor's or advanced degree in Data Science, Statistics or other relevant field
            • 7+ years' software engineering experience in Big Data Engineering, Application Support and/or Technology Operations
            • 3+ years of experience with Agile practices
            • End-to-End data, analytics and machine learning technology and business acumen experience in Data Warehousing, ODS, Big Data platforms and related technology stacks such as ETLs, Python, Spark, Hive and cloud native data capabilities
            • Ability to implement data and analytics capabilities and mindset at scale 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, or status as a protected veteran. 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.

Keywords: Wells Fargo, St. Louis , Senior Lead Analytics Consultant - Data Engineering, Engineering , Saint Louis, Missouri

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