Analytics Engineer

Paycom - ATS; Overland Park (KS); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits for full-time

Job summary

Livestock Nutrition Center is seeking an Analytics Engineer in Overland Park, KS to design and maintain data pipelines and BI dashboards. You will bridge raw data assets with business decisions, delivering reliable datasets and insights to stakeholders.

The role requires 2–5 years of analytics experience, strong SQL, and proficiency with dbt, Snowflake, and Tableau. This position emphasizes collaboration and clear communication within the Technology team.

Qualifications

• Bachelor's degree in Data Science, CS, IS, or related field.
• 2–5 years in analytics engineering, data engineering, or related analytics role.
• Experience leading projects in data/analytics context is a plus.
• Hands-on with data ingestion, dbt for modeling, and Tableau visualization.
• Strong SQL skills; Snowflake as primary data warehouse.
• Familiar with Git and standard development tooling.
• Proficiency with Excel and Outlook.
• Strong communication; translate technical concepts for stakeholders.

Responsibilities

• Support data ingestion and preparation for the data warehouse.
• Design, build, and maintain data transformations with dbt.
• Develop dashboards and visualizations in Tableau for self-service reporting.
• Perform ad hoc reporting and analysis for time-sensitive questions.
• Collaborate with stakeholders to gather requirements and deliver insights.
• Follow change management for pipelines and dashboards as defined by senior engineers.
• Ensure data quality, documentation, testing, and validation.

Skills

SQL

Tableau

dbt

Snowflake

Git

Excel

Outlook

Communication

Education

Bachelor's degree in Data Science/CS/IS or related field

Tools

Snowflake

dbt

Tableau

Job description

Job Details: Job Location: Overland Park KS (05) - Overland Park, KS, Salary Range: Undisclosed, Company Overview

Livestock Nutrition Center specializes in blending customized rations, supplements and premixes to meet the specific nutritional needs of Livestock Producer's operations. We understand that management, performance objectives and feeding practices can be vastly different between operations, and that these differences dictate specific nutritional or formulation requirements. Our experienced sales staff and nutritionist will work with the Producer to design a feeding program that is specific to their operation.

Mission Statement

Our Mission is to add value to the suppliers and end users in the feed ingredient supply chain through distribution, processing and service.

Guiding Principle

Our focus is to provide customized feeding programs, nutritional products, and expert service to livestock producers that promote their long-term success and profitability.

Qualifications: Position Summary

The Analytics Engineer designs, builds, and maintains data pipelines and models while also delivering stakeholder-facing dashboards and analysis, bridging the gap between raw data infrastructure and business decision-making. This role requires 2-5 years of relevant experience and reports into the Technology department.

At this time, this position is not eligible for employer-sponsored visa sponsorship or related sponsorship funding.

Job Responsibilities

• Support data ingestion and preparation processes to bring source data into the data warehouse, ensuring it is ready for downstream modeling.
• Design, build, and maintain data transformation pipelines using dbt to model raw data into clean, reliable, and well-documented datasets.
• Develop and maintain dashboards and visualizations in Tableau to support self-service reporting and stakeholder decision-making.
• Perform ad hoc reporting and analysis to answer time-sensitive business questions outside of standard dashboard cycles.
• Partner with business stakeholders to gather requirements, translate questions into data models, and deliver actionable insights, drawing on forecasting and analysis methods to proactively surface reporting opportunities.
• Follow the company's change management process for data pipeline and dashboard changes, as defined by the Senior Integration and Systems Engineer.
• Ensure data quality, consistency, and documentation across pipelines and models, including testing and validation within dbt, and maintain user-facing documentation to support stakeholder self-service.
• Monitor and troubleshoot pipeline failures or data discrepancies and resolve them in a timely manner.
• Collaborate with other technology and business teams to understand upstream data sources and downstream reporting needs, while building trust and driving adoption of BI tools and reporting standards across the organization.
• Partner with internal technology resources, including development teams, to align data models with upstream system changes and support broader technology initiatives.
• Lead small to mid-sized Salesforce or integration projects, such as new automation builds or point-to-point integrations, including planning, timelines, and stakeholder communication.
• Identify opportunities to improve data infrastructure, modeling standards, and reporting efficiency over time.
• Keeping assigned project work current on the technology project portfolio board, including status updates and timeline changes.

Requirements, Qualifications, Skills

• Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field, or equivalent practical experience.
• 2-5 years of experience in analytics engineering, data engineering, or a related analytics role.
• Experience leading or managing projects, particularly within a data or analytics context, is a plus.
• Hands-on experience with data ingestion and preparation tooling, dbt for data modeling, and Tableau for dashboarding and visualization.
• Strong SQL skills and hands-on experience with Snowflake as the primary data warehouse platform, along with a working understanding of on-premises data technologies and how they integrate within a broader data pipeline.
• Familiarity with version control systems such as Git and standard development tooling.
• Proficiency with standard office productivity tools such as Excel and Outlook.
• Strong communication skills with the ability to translate technical data concepts for non-technical stakeholders.
• Priority consideration for experience in agricultural, livestock, or manufacturing industries.

Benefits and Perks

• All full-time employees are eligible for a comprehensive benefits package.