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.
- 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.
- 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.
Skills Required
- Bachelor’s degree in Business, Finance, Economics, Data Analytics, Information Systems, or a related field
- 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
- Strong analytical and problem-solving skills
- Experience working with data sets, reports, and dashboards
- Proficiency in Microsoft Excel
- Experience with Salesforce and Power BI
- 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
What We Do
Kaleris is a leading provider of cloud-based supply chain execution and visibility technology solutions. Many of the world's largest brands rely on Kaleris to provide mission-critical technology for yard management, transportation management, maintenance and repair operations, terminal operating systems, and ocean carrier and vessel solutions. By consolidating supply chain execution software assets across major nodes and modes, we address the dark spots and data gaps that cause friction and inefficiency in the global supply chain.
