dept

Principal, Data Analytics

Apply Now

At a Glance

Location
United States
Work Regime
remote
Experience
5+ years
Posted
2026-04-08T16:53:10-04:00

Key Requirements

Required Skills

AWSAzureData AnalysisETLGCPMATLABMachine LearningPythonSQL

Domain Knowledge

  • Engineering
  • Finance
  • Marketing

Benefits & Perks

Health Insurance

a snapshot of our  benefits package: Healthcare, Dental, and Vision coverag

Requirements

Expertise in applications of experimentation and measurement

Data-driven curiosity that leads to deep, meaningful, and actionable insights for our clients

A vision for reusable, scalable data pipelines and models as well as the skill to execute on building them

Compelling and cohesive storytelling that applies analytics to convince clients and DEPTsters on tactical decisions, in addition to building narratives about the need for analytics

Clear communication of context, recommendations, and rationale to relevant internal and/or external stakeholders to drive earn buy-in

A client delivery mindset with the ability to take a step back and ensure that work being done is maximizing client value

Compensation & Benefits

We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our  benefits package:

Healthcare, Dental, and Vision coverage

401k plan, plus matching

PTO

Paid Company Holidays

Parental Leave

Responsibilities

We are looking for a Principal, Data Analyst seeking to work with our clients to shape business and data strategy.

You are highly analytical and excited about applying a quantitative framework to business problems through performing analysis, data mining, predictive modeling, business forecasting, applied statistics, and more.

You are comfortable with presenting your approach to Product Managers, Engineers, Marketing, Sales, Finance and working with them to execute a data-driven business process.

At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business.