About this role:

Wells Fargo is seeking a Senior Lead Analytics Consultant.

In this role, you will:

Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
Ensure adherence to compliance and legal regulations and policies on all projects managed
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

Required Qualifications:

7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

7+ years of experience to serve as a senior individual contributor driving advanced analytics, data science, and modern data strategy across complex enterprise environments.
This role is positioned for a highly autonomous analytics leader who can operate across data engineering, data science, and business analytics domains connecting disparate data sources, ensuring data trustworthiness, and generating actionable insights that improve people, processes, and technology outcomes.
This is not a traditional reporting or dashboard development role. The focus is on exploratory, predictive, and prescriptive analytics, combined with modern data architecture, data quality, and lineage practices.
Lead advanced analytics initiatives to identify trends, risks, opportunities, performance gaps, and improvement areas across business and technology functions.
Proactively analyze and integrate data from multiple systems, platforms, and business domains to generate trusted and actionable insights.
Apply statistical analysis, predictive modeling, anomaly detection, machine learning, and advanced analytical techniques to solve complex business problems.
Partner with data engineering, business intelligence, product, technology, risk, compliance, audit, and business stakeholders to define analytics needs and deliver meaningful outcomes.
Define, govern, and enhance enterprise metrics, key performance indicators, key risk indicators, scorecards, measurement frameworks, and executive reporting routines.
Drive data modernization initiatives by supporting the transition from legacy reporting and analytics solutions to modern, cloud-based, scalable data ecosystems.
Establish and influence data quality strategies, metadata practices, lineage visibility, data governance standards, and data management practices.
Work across the full data lifecycle, including data extraction, integration, transformation, modeling, validation, analysis, visualization, and insight generation.
Leverage tools and platforms such as SQL, Python, Power BI, Alteryx, Databricks, PySpark, SAS, Teradata, Google Cloud Platform, BigQuery, and modern distributed compute platforms.
Translate complex analytics into clear business recommendations, executive narratives, governance updates, and decision-ready insights.
Present insights, recommendations, trade-offs, and analytical findings to senior leaders, executives, regulators, audit partners, governance committees, and cross-functional stakeholders.
Mentor analytics professionals, establish analytical best practices, and influence standards for analytics delivery, documentation, quality, and stakeholder communication.
Navigate ambiguity, independently identify opportunities, drive clarity, and deliver results in a fast-paced enterprise environment

Job Expectations:

7+ years of experience in analytics, data science, business intelligence, data engineering, data management, enterprise reporting, risk analytics, or a related analytical function.
Advanced proficiency in SQL, Python, Power BI, and Alteryx, with the ability to analyze large, complex datasets and develop actionable insights.
Strong experience in statistical analysis, predictive modeling, machine learning, anomaly detection, segmentation, clustering, regression, decision trees, random forests, and related advanced analytical methods.
Experience with modern data platforms such as Databricks or equivalent distributed compute and cloud-based analytics platforms.
Strong understanding of data engineering, data modeling, data warehousing, enterprise data marts, dimensional modeling, data pipelines, and distributed data processing.
Experience with data integration patterns, including ETL, ELT, and streaming concepts.
Strong understanding of data governance, data quality, metadata, lineage, data management, and data as a product concepts.
Demonstrated ability to translate analytical findings into business recommendations, measurable outcomes, and executive-ready insights.
Excellent communication, stakeholder management, consulting, influencing, facilitation, and storytelling skills.
Ability to work independently, collaborate across technical and non-technical teams, navigate ambiguity, and deliver results in a complex enterprise environment.
Proven experience with data modernization, Lakehouse architecture, modern data platforms, data quality, metadata, lineage, and enterprise data governance.
Hands-on experience with tools such as PySpark, SAS, R, Teradata, Google Cloud Platform, BigQuery, Databricks, Power BI, Alteryx, or similar analytics platforms.
Experience defining enterprise metrics, KPIs, KRIs, scorecards, measurement frameworks, executive reporting, and governance routines.
Ability to identify emerging risks, assess control effectiveness, and influence risk mitigation strategies through analytics.
Strong executive communication, stakeholder management, consulting, storytelling, and influencing skills.
Experience with agile delivery practices using Jira, Confluence, or similar collaboration tools.
Experience applying Generative AI to improve productivity, automate analytical tasks, and support business innovation.
Knowledge of graph analytics, network analysis, and Neo4j is preferred.
Master's degree or higher in a quantitative, technical, or related discipline preferred.

Posting End Date:

3 Sep 2026

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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 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.

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To request a medical accommodation during the application or interview process, visit.

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Wells Fargo maintains a drug free workplace. Please see our to learn more.

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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.

Senior Lead Analytics Consultant -Data Engineering & Analytics