Revenue Operations Analyst

re-zoo-me; Alpharetta, Northern (GA, KY); Hybrid; USD 65,000 - 95,000; Full time

Job summary

Kaleris is seeking a RevOps Analyst to transform commercial data into actionable insights and automate reporting using AI tools. You will work with Salesforce, Power BI, and Excel to monitor pipeline health, forecasting accuracy, and KPIs.

The role requires a strong analytical mindset, data familiarity, and the ability to collaborate across teams while delivering clear, scalable data solutions.

Qualifications

• Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, or related field.
• 1–3 years of experience in revenue operations, sales operations, business analysis, data analytics, or related area.
• Relevant internship or co-op experience may be considered toward the experience requirement.

Responsibilities

• AI-enabled workflows: design, test, and maintain AI-enabled reporting workflows; identify opportunities to automate.
• Data analysis: analyze pipeline activity, pricing, contract terms, and deal performance to spot trends and risks.
• Reporting and dashboards: build and maintain reports and dashboards in Salesforce, Power BI, Excel, to track pipeline health and KPIs.
• Data quality: monitor data integrity across Salesforce; support data-cleanup initiatives.
• Forecasting support: assist with compiling and validating data used in annual/quarterly forecasting.
• Process documentation: create documentation for reporting processes and AI automations.
• Continuous improvement: propose new reporting, analytical, and automation approaches.

Skills

Analytical skills

Data analysis

Dashboards

Excel

Salesforce

Power BI

AI & automation

Attention to detail

Communication

Collaboration

Education

Bachelor's degree

Tools

Excel

Salesforce

Power BI

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.