EPiC Associate Consultant - Data & Analytics/AI

As an EPiC Associate Consultant, you will be a part of a fast-paced environment helping clients and internal business partners solve complex problems and delivering exceptional results. EPiC accelerates how quickly you learn, contribute, and build confidence as a consultant. From day one, you’ll do real work with a team that expects a lot and invests in your growth.

You’ll contribute to client work early, owning pieces of analysis, slides, and follow-through. You’ll build trust through quality, responsiveness, and strong attention to detail. You’ll learn by doing with rapid feedback. Project leads will give direct input, and you’ll apply it quickly. Your core consulting skills will develop through real work. You’ll be supported by a clear system. A people leader guides your development, a mentor helps you navigate day to day, and a cohort builds connection and accountability.

You’ll take on more ownership over time. You’ll start with structure and quickly move toward more independent responsibility as your confidence and capability grow. And most importantly, you’ll show up as a Pioneer, modeling what it means to be Humble, Hungry, and Connected.

Our DA & AI Associates will experience three rotations, learning through being a Data Analyst, a Developer, and an AI Architect. At the end of the rotation, the Associate will have the option to select which track to land within.

Responsibilities include:

While each day and project will be different, below is a list of some of the typical activities that our Associate Consultants perform on our various project teams:

Working with clients to determine their needs and goals by conducting interviews and surveys

Translate business objectives into requirements to support future-state design related to people, process, or technology ensuring client needs are captured and delivered

Perform primary and secondary research tasks to provide impactful, actionable insights and recommendations

Synthesize complex quantitative or qualitative data sets in a simple, intuitive format, and present findings in a clear and concise manner

Support the drafting and development of all major project deliverables

Assist with critical project management tasks such as project planning and status reporting

Communicate effectively with all audiences, including senior leaders, in a structured manner

Build positive working relationships with clients and ensure client satisfaction

Proactively cultivate and expand your professional network across clients and internal teams

Bridge conversations between technical teams (data engineers, developers, or system admins) and business/functional stakeholders

Assist in building data visualizations and dashboards (e.g., Tableau, Power BI) to communicate insights clearly

Engage with business leaders and data teams to help uncover core issues related to data and how analytics is used

Help translate data and analytics into actionable insights that support more data-informed decision-making

Qualifications:

Strong analytical and quantitative problem-solving skills

Ability to communicate complex ideas effectively (verbal and written)

Exposure to data analytics through coursework, internships, or prior experience (e.g., data visualization, basic statistics or modeling)

Ability to tell compelling data stories using Tableau, Power BI, and/or D3.js

Interest in bridging technical (data science/engineering) and business/functional perspectives

Ability to work collaboratively in a team environment

Comfort navigating ambiguity in fast-changing organizational environments and managing multiple assignments

Adaptability and eagerness to learn new industries, tools, and methodologies quickly

Curious mindset, asks clarifying questions and checks for shared understanding

Ability to work effectively with people at all levels in an organization

High level of proficiency with the Microsoft Office suite

Ability to commute to various clients in the metropolitan area this role is based in

Bachelor's Degree required, degrees in Engineering, Computer Science, Computer Information Systems, Data Science or Data Analytics, or similar degree preferred

Location:

This is an onsite role based in Denver, CO

Pioneer Denver Office: 2500 Walnut Street, Denver, CO

Compensation:

The expected compensation for this role will be $65,000- $70,000 per year