Sales Business Data Analyst

Description

Position at Autocar, LLC

Autocar, LLC headquartered in Birmingham, AL, a manufacturer of severe-duty vocational trucks carrying the first specialized truck brand in North America, is the only American-owned and operated original equipment manufacturer (OEM) of trucks. Autocar’s severe-duty vocational trucks provide customers with the perfect tool for their jobs with the most uptime, support, and impact on their bottom line. Autocar collaborates with customers to build trucks to their exact specifications and needs. Autocar’s purpose-built severe-duty refuse truck lines include the Class 6-8 ACMD cabover, Class 8 ACX cabover and the DC-64 Class 8 conventional cab. Autocar recognizes that performance and uptime are everything and offers every customer 24/7 access to its ALWAYS UP® direct factory support center staffed by expert technicians who engineer and build Autocar’s trucks. Autocar promises to provide trucks that deliver the best value, provide the best service, and provide a complete solution for customers’ needs.

Summary:

We are seeking a Sales Business Data Analyst with a passion for both dataand business. In this role, you will empower smarter sales and marketing decisions by turning complex data into clear, actionable insights. You will leverage your technical expertise to integrate and enrich data from multiple sources, become a subjectmatter expert in the heavy-duty truck industry, work closely with the Sales team to identify strategic opportunities, and deliver standardized outputsthat directly support the sales process.The ideal candidate thinks innovatively, embraces new approaches, and can rapidly prototype while also building long-term, scalable solutions. You combine data and analytical expertise with sales acumen to translate insights into strategic business outcomes and are adept at using modern AI tools to accelerate analysis and research.

Key Responsibilities:

• Proactively find and evaluate new data sources (such as email addresses, company websites, fiscal year, etc.) to be integrated within the Sales & Marketing data lake.
• Take ownership in collaboration with the Data team to enhance the Sales & Marketing data lake, ensuring new and derived data sources are accurately catalogued and continuously performing data matching and enrichment.
• Use data-wrangling techniques and tools to deliver targeted, actionable datasets for Sales and Marketing teams.
• Serve as a data steward for customer data by validating data accuracy, collaborating with cross-functional teams to enforce data quality controls and ensuring compliance with privacy regulations and company policies.
• Translate complex datasets into clear, actionable insights by leading development of reports, dashboards, and creating presentations that support data-driven decisions across Sales & Marketing.
• Collaborate with the Data Science team on the design and training of machine learning models, including scoring models that identify and prioritize the most promising sales leads.

Requirements

Education:

• Bachelor’s degree in a relevant field (e.g., Data Analytics, Statistics, Computer Science, Economics, or related).

Experience:

• 3+ years of experience with Python or R for data wrangling and analysis; expertise in querying, joining, and transforming large datasets with data quality practices (e.g., matching, deduplication, enrichment).
• 3+ years of experience collaborating with Sales, Marketing, or other business stakeholders to align data solutions with strategic and operational objectives.

Skills:

• Strong analytical and problem-solving skills, with the ability to translate data into clear, actionable recommendations.
• Familiarity with cloud-based storage platforms such as Azure Data Lake, AWS S3, or equivalent.
• Working knowledge of AI tools (e.g., ChatGPT, Copilot, OpenAI APIs) to enhance research, analysis, and efficiency.
• Experience with CRM systems (e.g., Salesforce, Zoho) and marketing platforms (e.g., Marketo, ZoomInfo) a plus.
• Ability to work independently and in collaboration within a fast-paced environment.
• Industry experience in automotive, heavy-duty truck, or manufacturing is preferred.

Work Environment: Ex. Office setting

Physical Requirements:

• While performing the duties of this job it is required to stand, walk,use hands, and reach with hands or arms when necessary for job activity.
• Ability to sit, stand, and/or walk for extended periods.
• Capable of meeting OSHA standards for manual lifting guidelines: < 50lbs

Legal and Compliance Statements

At-Will Employment:

This job description does not create a contract of employment, nor does it alter the at-will employment relationship. Employment with the company is voluntary and may be terminated at will by either the employee or the company, with or without cause, and with or without notice.

Job Duties Disclaimer:
The duties and responsibilities outlined here are representative but not exhaustive of the tasks that the employee may be required to perform. Management reserves the right to modify, add, or remove duties and to assign other tasks as necessary to meet business needs.

Equal Employment Opportunity:
Autocar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law.

Compliance with Laws and Policies:
The employee must adhere to all federal, state, and local employment laws and regulations, as well as all company policies and procedures.

Reasonable Accommodations (ADA Compliance):
Autocar complies with the Americans with Disabilities Act (ADA) and provides reasonable accommodations to qualified individuals with disabilities. Employees who require assistance or accommodations should contact Human Resources.

Confidentiality and Data Protection:

Employees are expected to maintain the confidentiality of sensitive information and comply with company policies regarding data protection and proprietary information, in accordance with applicable laws.

Non-Exhaustive List of Duties:

This job description is not intended to be an exhaustive list of all responsibilities or qualifications associated with the position.