Lead Analytics Consultant

Wells Fargo Bank•Charlotte, NC

1d•Hybrid

About The Position

Wells Fargo is seeking a Lead Analytics Consultant to work on a variety of Data Engineering projects in support of Marketing Science operations. Successful candidates should be able to demonstrate competency in managing and curating complex data into usable forms for subsequent consumption in analytics and visualization use cases. Skills such as SQL, Python, and BigQuery are particularly valuable. In this role, you will: Consult, review and research moderate to complex business, operational, and technical challenges that require an in-depth evaluation of data pipelines, data quality, and business stakeholder requirements. Perform moderate to complex data analysis to support business stakeholders and assist with strategic marketing initiatives Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements Lead technical discussions and participate on cross-functional teams and projects Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals Ensure quality of data products through developing appropriate controls and checks for data anomalies Adhere to compliance and risk management requirements in work processes. Work with cloud technology such as BigQuery in GCP and set up scheduling and automation.

Requirements

5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Nice To Haves

Experience with Google Cloud Platform / BigQuery, Python, SAS, Tableau, Alteryx, and Power BI
Prior Marketing experience in financial services is a plus
Data engineering experience
Experience evaluating and improving data pipelines, including identifying data quality issues, and implementing fixes
Strong data quality management skills, including building controls, validation checks, and monitoring for anomalies
Proven ability to translate business requirements into technical data solutions and analytical outputs
Experience working with large, complex datasets to support business decision-making and marketing strategy
Ability to identify and drive data engineering enhancements or process improvements
Experience leading or facilitating technical discussions across cross-functional teams
Strong stakeholder management skills, including working with mid-level managers to resolve issues and align on priorities
Knowledge of compliance and risk management considerations when working with data in a regulated environment
Ability to document data processes, lineage, and business logic clearly for both technical and non-technical audiences
Demonstrated ownership of end-to-end data or analytics initiatives

Responsibilities

Consult, review and research moderate to complex business, operational, and technical challenges that require an in-depth evaluation of data pipelines, data quality, and business stakeholder requirements.
Perform moderate to complex data analysis to support business stakeholders and assist with strategic marketing initiatives
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
Lead technical discussions and participate on cross-functional teams and projects
Collaborate and consult with peers, colleagues, and mid-level managers to resolve issues and achieve goals
Ensure quality of data products through developing appropriate controls and checks for data anomalies
Adhere to compliance and risk management requirements in work processes.
Work with cloud technology such as BigQuery in GCP and set up scheduling and automation.