Revenue Operations & Analytics Analyst

Swisslog; Atlanta (GA); On-site; USD 75,000 - 105,000; Full time

Job summary

Swisslog, a world-leading Robotics company focused on intralogistics, seeks a Revenue Operations Analyst in Atlanta to transform raw CRM, forecast, and operational data into reliable Power BI dashboards and connected data models that improve lead-to-revenue performance.

You will partner with Sales, Marketing, and Customer Service to drive KPI visibility and data hygiene, leveraging Salesforce or similar systems and a modern data lake/warehouse mindset.

Qualifications

• Bachelor’s degree or equivalent in Business, Analytics, Finance, Data Science, or related field.
• 1–3 years of experience in business analysis, sales operations, revenue operations, or data analytics.
• Hands-on experience with Power BI (DAX, data modeling, visualization best practices).
• Familiarity with Salesforce CRM or similar systems.
• Basic understanding of data lake/warehouse concepts (ETL, SQL preferred).
• Strong proficiency with Excel and other Microsoft Office applications.
• Strong analytical thinking, attention to detail, and problem-solving ability.

Responsibilities

• Reporting & Dashboard Development
• Data Connectedness & Data Infrastructure Support
• CRM (Salesforce) Data Stewardship
• Cross-Functional Collaboration
• Continuous Improvement

Skills

Power BI

Salesforce CRM

SQL

Excel

Analytical thinking

Attention to detail

Problem-solving

Education

Bachelor’s degree in Business, Analytics, Finance, Data Science, or related field

Tools

Power BI

Salesforce

SQL

Job description

Swisslog, a world-leading Robotics company focused on intralogistics, seeks a Revenue Operations Analyst in Atlanta to transform raw CRM, forecast, and operational data into reliable Power BI dashboards and connected data models that improve lead-to-revenue performance.

You will partner with Sales, Marketing, and Customer Service to drive KPI visibility and data hygiene, leveraging Salesforce or similar systems and a modern data lake/warehouse mindset.