VP, Analytics Solutions Consultant

Data Axle; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Data Axle is seeking a senior analytics consultant to deliver cross-industry analytical consulting solutions across Retail, Hospitality, Telecom, and Financial Services. This role blends deep applied analytics expertise with business acumen to help clients identify strategic opportunities, define KPIs, and build data-driven operating models.

You will lead executive engagements, design KPI libraries, prototype analytics frameworks using Databricks and AI tooling, mentor junior consultants, and

Qualifications

• Deep applied analytics experience connected to business outcomes.
• Ability to translate problems into analytical solutions for C-suite.
• Knowledge of end-to-end analytical pipelines including KPI definition.
• Experience with AI/ML methods in business contexts.

Responsibilities

• Lead executive engagements to understand business models and analytical maturity.
• Identify analytical opportunities across the client value chain and define KPIs.
• Design vertical-specific analytical frameworks and monetization pathways for Data Axle.
• Develop and present proposals including scope, methodology, and ROI to stakeholders.
• Partner with analytics, data engineering, and data science teams on data pipelines and delivery timelines.
• Drive adoption of analytical solutions and provide training and change management support.
• Oversee project milestones and manage client relationships and escalations.
• Contribute to practice development and assist in business development efforts.

Skills

Analytics expertise

Executive-level engagement

Strategic business acumen

Client-facing communication

Education

Bachelor's degree in quantitative field

Advanced degree (Master's or PhD)

Tools

Python

SQL

R

Databricks

Job description

Data Axle is a leader in data solutions that help organizations make and save money through accurate data, innovative technology, and exceptional service. We are committed to helping businesses grow through customer acquisition, retention, and product enhancement while maintaining a strong focus on data quality, accuracy, and availability.

General Summary:

This position is responsible for developing and delivering analytical consulting solutions across non-healthcare industry verticals, including Retail, Hospitality, Telecom, and Financial Services. This role blends deep applied analytics expertise with strong business acumen to help clients identify strategic opportunities, define KPIs, and build data-driven operating models.

Essential Job Functions: *

• Lead executive-level client engagements to understand business operating models, strategic priorities, and analytical maturity.
• Identify and qualify analytical opportunities across the client value chain, from customer analytics and demand forecasting to pricing, loyalty, and operational efficiency.
• Design vertical-specific analytical frameworks modeled on proven industry methodologies.
• Define KPIs and success metrics aligned to client business goals and translate them into actionable measurement plans.
• Develop and present solution proposals including scope, methodology, technology stack, and expected ROI to client stakeholders.
• Partner with Analytics, Data Engineering, and Data Science teams to define data pipeline architecture, model requirements, and delivery timelines.
• Ensure solutions are commercially structured to maximize value delivery and create clear monetization pathways for Data Axle.
• Oversee implementation milestones and serve as an escalation point for client issues and solution adjustments.
• Drive adoption of analytical solutions within client organizations, including training, change management support, and embedding frameworks into client workflows.
• Conduct ongoing solution reviews to assess performance against KPIs and recommend enhancements.
• Develop reusable analytical assets including industry-specific frameworks, KPI libraries, and methodology playbooks that accelerate future client engagements.
• Stay current on industry trends across target verticals and emerging analytics technologies, including AI/ML, generative AI, and cloud analytics platforms.
• Leverage Databricks and AI tooling to prototype, develop, and validate analytical frameworks and client-specific models.
• Act as the bridge between client stakeholders and internal analytics, engineering, and product teams.
• Contribute to practice development by codifying methodologies, supporting business development efforts, and mentoring junior consultants.
• Collaborate on RFPs, proposals, and client presentations in partnership with sales and solutions teams.

* Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. The function is considered essential if the reason the position exists is to perform that function.

Supportive Job Functions: *

• Perform other miscellaneous duties as assigned by management.

*These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent. However, these tasks still constitute important performance aspects of the job.

Knowledge, Skill, and Abilities:

• Deep applied analytics expertise with strong business acumen and the ability to connect analytics strategy to client business outcomes.
• Ability to engage C-suite and senior business stakeholders and translate business problems into analytical solutions.
• Knowledge of end-to-end analytical pipelines, including data sourcing, KPI definition, model development, visualization, and operationalization.
• Proficiency with Python, R, or SQL and modern data platforms; Databricks experience preferred.
• Experience applying AI/ML methods to solve business problems such as forecasting, segmentation, propensity modeling, and pricing optimization.
• Strong written, verbal, presentation, and client-facing communication skills.
• Ability to collaborate across Analytics, Data Engineering, Data Science, sales, solutions, product, and client stakeholder teams.

Education, Experience, and Certification: *

• Bachelor's degree in economics, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline.
• 8–15 years of applied analytics experience, with a demonstrated track record of client-facing consulting or solutions delivery roles.
• Deep experience across two or more of the following verticals: Retail, Hospitality, Telecom, or Financial Services.
• Advanced degree (master's or PhD) in a quantitative field preferred.
• Experience in consulting, professional services, or analytics product companies preferred.
• Experience developing commercial analytics frameworks or productizing analytical methodologies preferred.
• Exposure to generative AI tooling and its application in analytics workflows preferred.

*Minimum requirements needed to perform the job.

Scope of Job:

• No supervisory responsibility: General direction only received.
• Working conditions are good, with some travel, and a consistent workweek.
• Errors are not always detectible and may be serious and costly.
• Contact with others inside and outside the Company is regular and frequent.