Senior Analytics Consultant - Benefits Analytics

Wells Fargo is seeking a Senior Analytics Consultant to support the Benefits Analytics and Total Rewards function. This role applies advanced analytical expertise to deliver insights that shape business strategy, optimize benefit programs, and support compliance with regulatory requirements.

This position partners closely with Human Resources, Finance, Risk, Sourcing, and external stakeholders to deliver data-driven insights into healthcare costs, financial performance, and workforce trends. The role is instrumental in building scalable analytics solutions and enabling informed, enterprise-wide decision-making across benefits programs.

- Lead complex analytics across benefits, healthcare costs, and workforce data to identify trends, generate insights, and inform strategic decisions

- Translate business, regulatory, and operational needs into analytical frameworks, models, and reporting solutions

- Design, build, and maintain scalable dashboards, reports, and data models using tools such as Excel, SQL, and BI platforms (e.g., Power BI, Tableau)

- Support benefits strategy through financial modeling, cost projections, ROI analyses, vendor performance assessments, and RFP analytics

- Leverage data from HR systems, vendors, and third-party sources to discover cost management and workforce insights

- Analyze industry benchmarks and market trends to provide forward-looking insights to HR and business stakeholders

- Partner with cross-functional teams (HR, Finance, Sourcing) to prioritize initiatives and deliver actionable recommendations

- Clearly communicate insights to both technical and non-technical audiences, translating data into business impact

- Ensure data integrity, governance, documentation, and compliance with risk and control standards

- Drive continuous improvement in analytics processes, tools, automation, and reporting capabilities

- Lead or contribute to analytics initiatives, including planning, execution, and stakeholder coordination

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

- Bachelor's degree in Analytics, Finance, Healthcare, Actuarial Science, or a related field

- 4+ years of experience in healthcare analytics, financial modeling, reporting, or a related discipline (or equivalent experience)

- Strong proficiency in SQL, SAS, and data visualization/BI tools (e.g., Tableau, Power BI, Fabric)

- Experience building dashboards and working with large, complex datasets

- Understanding of data structures (e.g., Workday, HRIS) and experience in HR, Benefits, or Finance analytics

- Knowledge of healthcare cost drivers, claims data, workforce analytics, and employee benefits programs

- Ability to translate business needs into technical solutions and deliver actionable insights

- Strong analytical, problem-solving, and communication skills with a consultative approach

- Familiarity with advanced tools (e.g., Python, R, Alteryx, Power Automate, AI tools) to drive automation and efficiency

- Proven ability to manage multiple priorities with strong attention to detail

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $77,000.00 - $133,000.00

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit

Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

- Health

benefits - 401(k) Plan - Paid time off - Disability

benefits - Life insurance, critical illness insurance, and accident insurance - Parental leave - Critical caregiving leave - Discounts and savings - Commuter

benefits - Tuition reimbursement - Scholarships for dependent children - Adoption reimbursement

13 Aug 2026 * Job posting may come down early due to volume of applicants.