Business Forecast Analyst

About Truck-Lite
At Truck-Lite Co., LLC, a Clarience Technologies company, we are driven by our C.L.E.A.R.
Principles:

• Curiosity – Look for a better way as a solutions-oriented problem solver
• Leadership – Take ownership and be the catalyst of change.
• Enthusiasm – Be motivated and passionate about your work.
• Accountability – Deliver on commitments and act with integrity.
• Respect – Be present, listen, and engage with inclusive, open, honest, and direct

communication.

Essential Job Functions
With or without reasonable accommodation, the successful candidate will:

• Forecast Development:

o Own the end-to-end forecasting process, generating ski-level projections 24
months into the future to support strategic planning and decision making.
o Apply statistical models and forecasting tools to improve accuracy and
responsiveness.

• Cross-Functional Collaboration:

o Work closely with Sales, Marketing, Finance, and Production teams to gather
insights and align forecasts with business goals.

• Data Analysis & Reporting:

o Analyze forecast accuracy and identify root causes of variance.
o Develop dashboards and reports to communicate forecast performance and key
metrics to stakeholders.
o Produce monthly reports including hours, rebate-related sales, and data
packages.
o Support strategic meetings through data preparation for Intro, SIOP, 5YP, and
SGI sessions.

• Inventory & Capacity Planning Support:

o Generate and analyze 3-month demand estimates and actuals to support
planning accuracy.
o Manage and maintain daily reporting on past due shipments, shipping
performance and cost/hours tracking.
EMPLOYMENT OPPORTUNITY
Business Forecast Analyst

• Continuous Improvement:

o Identify opportunities to enhance forecasting processes, tools, and systems.
o Stay current with industry best practices and emerging technologies in demand
planning.

• Position requires compliance with the Technology Control Plan and the Federal Export

Control Policy established for the Corporation.

Qualifications

• 4-year college degree in Supply Chain Management, Business Management,

Mathematics, or related field (master’s degree preferred).

• 5 years of experience in forecasting, preferably in a manufacturing environment.
• Strong analytical skills and proficiency in data analytics tools (prefer Power BI, AS400

Query, Reports Now).

• Excellent communication and leadership skills.
• Experience with SIOP processes and cross-functional collaboration