Revenue Operations Analyst

Navis LP; Alpharetta (GA); On-site; USD 68,000 - 90,000; Full time

Job summary

Kaleris in Alpharetta, GA is seeking a Junior Revenue Operations Analyst to translate commercial and operational data into clear, actionable insights that guide business decisions. The role uses AI and automation to streamline reporting and reduce repetitive work across Commercial Operations.

You will work with Salesforce, Power BI, and Excel to analyze pipeline activity, pricing, and deal performance; build dashboards; monitor data quality; and support forecasting with rigorous validation.

Qualifications

• Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, or related field.
• 1–3 years of relevant experience in revenue or sales operations, data analytics, or related area.
• Internship or co-op experience relevant to the role may be considered.

Responsibilities

• AI and Process Automation: design, test, and maintain AI-enabled workflows to automate reporting and data tasks.
• Data Analysis: analyze pipeline activity, pricing, contract terms, and deal performance for insights.
• Reporting and Dashboards: build dashboards in Salesforce, Power BI, and Excel to track KPIs.
• Data Quality: monitor data quality in Salesforce and support data-cleanup initiatives.
• Forecasting Support: assist with data in annual and quarterly forecasting processes.
• Process Documentation: document reporting processes and AI automations for consistency.

Skills

Analytical thinking

Data analysis

Excel

Communication

Teamwork

Education

Bachelor's degree

Tools

Salesforce

Power BI

Excel

Job description

Job Description: RevOps Analyst

The Junior Revenue Operations Analyst at Kaleris transforms commercial and operational data into clear, actionable insights that support informed business decisions. This role also uses AI and automation tools to streamline reporting, improve processes, and reduce repetitive administrative work across Commercial Operations. The ideal candidate has a strong analytical foundation, is comfortable working with data and reporting tools, and is curious about using AI and automation to improve day-to-day operations.

Key Responsibilities

• AI and Process Automation: Design, test, and maintain AI-enabled workflows that automate reporting, data extraction, and routine operational tasks. Identify additional opportunities to improve efficiency through automation.
• Data Analysis: Analyze commercial and operational data—including pipeline activity, pricing, contract terms, and deal performance—to identify trends, gaps, risks, and opportunities for improvement.
• Reporting and Dashboards: Build and maintain reports and dashboards using Salesforce, Power BI, Excel, and other tools to track pipeline health, win rates, forecast accuracy, and key performance indicators.
• Data Quality: Monitor data quality and integrity across commercial systems, primarily Salesforce. Identify inconsistencies and support ongoing data-cleanup initiatives.
• Forecasting Support: Assist with compiling, reviewing, and validating data used in annual and quarterly forecasting processes.
• Process Documentation: Create and maintain clear documentation for reporting processes, data workflows, and AI-enabled automations to support consistency, scalability, and knowledge sharing.
• Continuous Improvement: Recommend new reporting, analytical, and automation approaches as familiarity with the organization’s systems, data, and processes grows.

Education and Experience

Bachelor’s degree in Business, Finance, Economics, Data Analytics, Information Systems, or a related field required. One to three years of relevant experience in revenue operations, sales operations, business analysis, data analytics, or a related area. Relevant internship or co‑op experience may be considered toward the experience requirement.

Skills and Qualifications

Strong analytical and problem-solving skills. Experience working with data sets, reports, and dashboards. Proficiency in Microsoft Excel; experience with Salesforce and Power BI is preferred. Interest in applying AI and automation tools to improve business processes. Strong attention to detail and commitment to data accuracy. Ability to communicate findings clearly and collaborate across teams. Ability to manage multiple priorities in a fast-paced environment.

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Kaleris, we encourage creativity, delight in innovation, and foster opportunities to grow. We believe every move matters, especially career moves. We’re building the connected, visible, sustainable, and reliable global supply chain of the future. And we're looking for the best and brightest people to join our team.