Data Analytics Strategist

Urschel Laboratories, Inc.•Chesterton, IN

1d•Onsite

About The Position

Urschel, a 100% employee-owned company, is seeking a Data Analytics Strategist to lead and grow our data analytics function. This role is ideal for a strategic, hands‑on leader who enjoys turning complex data into insights that drive operational excellence and informed business decisions across a global manufacturing organization. Urschel employee‑owners design and manufacture industrial food cutting equipment for customers around the world. Headquartered in Chesterton, Indiana, Urschel has been in business for nearly 115 years and is known for exceptional quality, innovation, and a strong culture built on collaboration, respect, and continuous improvement. The Data Analytics Strategist provides leadership and oversight for Urschel’s data analytics function. In this role, you will collaborate with leaders across the organization to understand data needs and deliver meaningful insights to establish data standards, develop automated solutions, and deliver high‑quality analytics that support business strategy, operational performance, and informed decision‑making.

Requirements

Bachelor’s degree in business, analytics, statistics, engineering, or a related quantitative field required
Minimum of eight (8) years of managerial experience in data analytics or a related function
Strong analytical, problem‑solving, and data visualization skills
Ability to communicate complex data clearly to technical and non-technical audiences
Proven leadership and people‑management experience
Candidates must be eligible to work in the United States without visa sponsorship now or in the future.
This position is based at Urschel’s Corporate Headquarters in Chesterton, Indiana and requires full‑time, on‑site work.

Nice To Haves

Master’s degree in business or a quantitative discipline preferred, or equivalent experience
Experience developing analytics solutions in a manufacturing or operational environment preferred

Responsibilities

Develop and maintain enterprise data standards and governance practices
Design and deploy automated data collection, integration, and processing solutions
Build and manage data sets to support reporting, analysis, forecasting, and trend identification
Apply statistical methods, modeling, and analytical techniques to business and operational initiatives
Prioritize projects and manage timelines, resources, and deliverables
Present data findings and recommendations to leadership and key stakeholders
Recruit, lead, and develop analytics team members