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Lead Analytics Consultant
Wells Fargo. Consult, review, and research moderate to complex business, operational, and technical challenges .
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Consult, review, and research moderate to complex business, operational, and technical challenges
- Evaluate data pipelines, data quality, and business stakeholder requirements
- Perform data analysis to support business stakeholders and strategic marketing initiatives
- Extract data-driven insights and identify engineering enhancement opportunities
- Lead technical discussions and participate in cross-functional teams and projects
- Collaborate with peers, colleagues, and mid-level managers to resolve issues and achieve goals
- Develop controls and checks for data anomalies to ensure data product quality
- Adhere to compliance and risk management requirements
- Work with BigQuery in GCP and set up scheduling and automation
Requirements
What you’ll need- 5+ years of Analytics experience, or equivalent demonstrated through work experience, training, military experience, or education
- SQL, Python, and BigQuery skills
- Experience with Google Cloud Platform / BigQuery, Python, SAS, Tableau, Alteryx, and Power BI
- Data engineering experience
- Experience evaluating and improving data pipelines, identifying data quality issues, and implementing fixes
- Strong data quality management skills, including building controls, validation checks, and monitoring for anomalies
- Ability to translate business requirements into technical data solutions and analytical outputs
- Experience with large, complex datasets supporting 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
- Knowledge of compliance and risk management in a regulated environment
- Ability to document data processes, lineage, and business logic for technical and non-technical audiences
- Demonstrated ownership of end-to-end data or analytics initiatives
- Must reside within a commutable distance from work
- Not eligible for visa sponsorship
Benefits
Comp & perks- Hybrid work schedule
- Ability to travel up to 10% of the time
- Equal opportunity employment
- Medical accommodation support during recruitment or interviews