Senior Business Execution Consultant -Analytics Engineer, Distribution Strategy

Wells Fargo & Company • McLean, VA

23h • Hybrid

About The Position

About this role: We are seeking a Senior Business Execution Consultant to join the Branch Distribution Strategy & Operations team in a hybrid strategy, analytics, and data engineering role. This position is ideal for someone who enjoys shaping business strategy while also building the data foundations required to deliver it. In this role, you will influence the retail distribution strategy for one of the nation’s largest banks. You will uncover insights that drive executive decisions and ensure we maintain a robust, well governed data environment. If you excel at translating technical solutions into business outcomes—and have experience designing or improving production grade data pipelines—we would love to hear from you. This position shapes decisions, not just datasets. You will own the full path from problem framing → data engineering → analysis → insight → recommendation → measured business impact. You will pair hypothesis driven strategic thinking and executive storytelling with hands-on SQL/Python and modern data tooling to build clean, scalable datasets and decision grade analytics. This role has a significant data engineering component. You will help define and implement data architecture standards, optimize pipelines, enhance data quality, and ensure the data powering our decision-making is durable, trustworthy, and ready for scaled use. This is not a pure data engineering or pure reporting role. We are looking for a strategist who can dig into the data, engineer the right solutions, and use them to drive meaningful business decisions. Learn more about the career areas and lines of business at wellsfargojobs.com. In this role, you will:

Requirements

• 4+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 4+ years of Advanced data analytics or statistical modeling

Nice To Haves

• 3+ years of consulting experience
• 3+ years of banking, financial services, or Branch Distribution Strategy experience
• Strong proficiency in SQL (production grade) and Python for data transformation, automation, and analytical workflows.
• Experience designing, building, and maintaining reusable datasets, data models, or pipelines.
• Demonstrated ability to improve data quality, lineage, metadata, and documentation, including partnership with upstream teams to shape data contracts.
• Experience developing decision grade analyses such as customer segmentation, funnel analysis, attribution/driver models, uplift/propensity modeling, or unit economics.
• Strong ability to translate ambiguous business questions into structured hypotheses, analytical plans, and actionable insights.
• Exceptional executive communication skills, with a track record of crafting clear narratives, options/tradeoffs, and recommended strategic paths.
• Experience defining and operationalizing metric frameworks/OKRs and ensuring consistent definitions across stakeholders.
• Experience with GIS analytics
• Proficiency building Power BI dashboards or similar BI tools with clear logic, definitions, and business context.
• Familiarity with data governance, model documentation, risk controls, and sound methodological practices.
• Ability to operate in fastmoving, ambiguous environments; comfortable executing end-to-end from problem framing → data engineering → analysis → insight → recommendation → measured impact.
• Experience influencing cross functional partners (e.g., Product, Finance, Risk) and converting insight into strategy, roadmaps, or pilots.

Responsibilities

• Strategy & Insights Translate ambiguous business questions into structured hypotheses and learning agendas; prioritize by impact and feasibility.
• Build decision-grade analyses and models (e.g., cohort/retention, funnel conversion, drivers/attribution, uplift/propensity, LTV/unit economics).
• Craft concise, executive-ready narratives with options, tradeoffs, and a recommended path; influence decisions involving Branch Distribution Strategy
• Define simple, durable metric frameworks/OKRs; align leaders on what “good” looks like and how we’ll measure it.
• Partner with stakeholders to convert insights into strategy, roadmaps, and pilots—then track outcomes.
• Data & Analytics Engineering Write production-grade SQL and solid Python to build reusable datasets, enable self serve analytics, and automate recurring workflows.
• Improve data quality, lineage, and documentation; help shape data contracts with upstream teams.
• Publish decision dashboards (Power BI) with unambiguous definitions and business context.
• Adhere to data governance/model risk expectations; document methods, assumptions, and limitations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed