Data Specialist — Excel Analytics for Home Building

Clayton Homes; Indianapolis (IN); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Base salary and bonus opportunities

Advancement opportunities

Exposure to executive leadership

Team outings and volunteer events

4 weeks paid time off

Health and life insurance, 401(k),Par­

Parental leave and company discounts

Leadership Academy – professional成长

Job summary

Arbor Homes is seeking a Data Specialist to join our Indianapolis team. The role focuses on building and maintaining data to support home construction and purchase orders, collaborating across departments on data-driven initiatives, and ensuring data accuracy for end users.

Ideal candidates will have strong analytical skills, advanced Excel abilities, and experience handling large data sets. Collaboration and independent work capabilities are valued, with opportunities for professional growth

Qualifications

• Strong numerical and analytical abilities with data-driven mindset.
• Proficient in Microsoft Excel; able to build/upload data sheets and matrices.
• Experience handling large datasets and data migration tasks.
• Good troubleshooting and organizational skills; clear communicator.

Responsibilities

• Build data in Excel upload sheets.
• Perform quantity takeoffs utilizing blueprints (data focus).
• Create and maintain takeoff matrices in Excel.
• Collaborate on data-driven initiatives with other departments.
• Troubleshoot errors encountered by end users.
• Migrate existing data to standardized parameters.
• Assist in training new data specialists.
• Support maintenance of costs and retail data.
• Communicate changes to end users.

Skills

Data analysis

Excel proficiency

Data management

Troubleshooting

Communication

Independent work

Tools

Microsoft Excel

Sapphire Build ERP

Job description

Arbor Homes is seeking a Data Specialist to join our Indianapolis team. The role focuses on building and maintaining data to support home construction and purchase orders, collaborating across departments on data-driven initiatives, and ensuring data accuracy for end users.

Ideal candidates will have strong analytical skills, advanced Excel abilities, and experience handling large data sets. Collaboration and independent work capabilities are valued, with opportunities for professional growth