Senior Analytics Engineer

Your Job

Koch Technologies HR Technology team is looking for a Sr.

Analytics Engineer to help build the data foundation behind Koch Communications & Marketing's (KCM) measurement priority.

In this role, you will build and maintain the data products that provide a trusted view of how communications and marketing efforts influence audience behavior, engagement, and business results.

You will connect data across systems, develop scalable pipelines and analytics solutions, and deliver insights that improve decision-making, optimize investments, and increase measurement maturity across the business.

You will also leverage AI to accelerate development and create intelligent analytics experiences, including natural-language access to data, anomaly detection, and automated insight generation.

Our Team

People Data & Insights is a capability within the HR Technology organization of Koch Technology.

We execute Koch's HR data management and analytics initiatives through holistic architecture, design, development, and support.

We partner across Koch businesses and capabilities to ensure people data is reliable, defined, secure, accessible, and managed.

Through data products, advisory services, governance, and analytics, we help make data a trusted asset that enables leaders to make informed, profitable decisions.

Location: This role can be located in Wichita, KS / Atlanta, GA / Plano, TX and requires an in office presence with flexibility.

This role is not eligible for VISA sponsorship.

What You Will Do



* Design, build, and maintain data pipelines, analytical models, dashboards, and AI-enabled data products that connect marketing, recruiting, and operational data into actionable insights.


* Integrate and model data from multiple platforms, building scalable solutions that connect activities, outcomes, and business value across the customer and applicant journey.


* Establish trusted data foundations through metric governance, data quality testing, monitoring, lineage, and documentation.


* Apply AI and automation to accelerate development and enhance analytics experiences, including anomaly detection, natural language querying, insight generation, and entity resolution.


* Partner closely with business stakeholders to translate requirements into scalable, production-ready solutions that improve decision making.


* Rapidly learn new technologies, platforms, and business domains, leveraging strong data engineering fundamentals to solve complex problems.


* Collaborate with technical and domain experts across the organization, engaging the right specialists while maintaining ownership for delivering business outcomes.


* Support adoption through user enablement, documentation, continuous improvement, and validation that solutions drive measurable action and results.


* Challenge existing approaches when appropriate, using curiosity, customer focus, and business context to identify better ways to create value.

Who ...