Sales Operations Analyst (AI/Data Analytics)

Location: Duluth, Georgia, United States. Proof of the right to work in the United States of America is required.

Company

hirify.global develops low-power programmable logic, FPGA, CPLD, and programmable power management solutions for global customers.

What you will do

• Design, build, and maintain financial and operational models for sales forecasting, pipeline management, budgeting, and revenue planning.
• Analyze historical and real-time data, use predictive analytics, and identify performance drivers and improvement opportunities.
• Develop Power BI, Tableau, Salesforce, and Excel dashboards and reporting for the CSO and sales leadership.
• Partner with sales, finance, and IT to improve processes, resource allocation, data quality, and governance.
• Prepare analytical deliverables and presentations for sales planning and quarterly business reviews.
• Conduct ad hoc analysis, variance analysis, and deep dives into sales performance.

Requirements

• Bachelor’s degree in business, economics, statistics, mathematics, or a related field.
• 5+ years of experience in data analytics, FP&A, financial modeling, or business intelligence.
• Advanced proficiency in Power BI, Tableau, DAX, and Power Query.
• Expertise in Excel, including macros, VBA, pivot tables, and complex formulas.
• Experience supporting sales teams and executive leadership, with strong presentation and communication skills.
• Strong financial acumen, analytical thinking, attention to detail, and problem-solving ability.

Nice to have

• Master’s degree.
• Experience with Salesforce or other CRM platforms and SQL.

Culture & Benefits

• Competitive compensation and benefits package, with possible variable or incentive compensation and equity.
• Healthcare, retirement plans, paid time off, and other benefits may be included.
• Access to advanced analytics tools and professional development opportunities.
• Opportunity to work closely with executive leadership and influence business decisions.
• Collaborative, dynamic environment focused on customer success and measurable results.

Hiring process

• Submit a resume and cover letter describing experience in financial analysis, budgeting, forecasting, data modeling, and analytics.
• Work examples such as dashboards or models may be included.
• Successful background and reference checks are required.