Analytics Engineer

Delta Defense LLC•West Bend, WI

2h•Hybrid

About The Position

As an Analytics Engineer, you'll transform complex data into insights that help us connect millions of responsible Americans with the training, education, and resources they need to protect what matters most. We seek a highly driven Analytics Engineer who can turn raw, operational data into trusted business intelligence that drives smarter decisions across the company. In this role, you will partner with cross-functional teams to transform data from multiple sources into scalable reporting solutions that bring clarity to KPIs, metrics, and business performance. You will build the foundation that helps leaders see what is happening, understand why it matters, and act with confidence. The right candidate is a disciplined problem-solver and truth-seeker. You move with urgency without sacrificing accuracy. You take ownership, ask strong questions, and bring order to complexity. You are comfortable working through ambiguity, improving systems, and holding your work to a high standard because the work matters. This position is based at our corporate headquarters in West Bend, Wisconsin and allows for a hybrid work schedule with 3 days onsite and the option for 2 days remote.

Requirements

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
A high school diploma or equivalent is required.
Bachelor’s degree in Computer Science, Information Management, Data Science/Analytics, or equivalent relevant experience.
3+ years of SQL experience
Familiarity with with ETL/ELT methodologies
Experience with cloud data warehouses (Snowflake, Redshift, BigQuery)
Experience with Agile development methods
Understanding of Tableau
Ability to work independently and collaboratively in a fast-paced environment with shifting priorities.
Demonstrates the Core Values of Delta Defense, LLC.

Nice To Haves

DBT experience preferred
Analytics engineering or data engineering experience preferred
Experience with with Python and shell scripting a plus
Experience with Dimensional (star schemas) and Data Vault data models a plus.

Responsibilities

Build data pipelines that integrate complex and disparate data sources in order to create clean, tested, and reusable datasets ready for analysis.
Ensure data quality by creating, maintaining, and enhancing data profiling methodologies.
While performing data transformations, ensure adherence of the rules and requirements for the formats and attributes of data.
Follow engineering best practices around CI/CD, unit testing, performance testing and optimization.
Effectively collaborate with Data Architecture to ensure the quality and consistency of the data model.
Create clear and effective documentation as needed.
Understand and apply best practices related to PII, adherence to Risk policies and standards as set forth by the organization.